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Search for research papers, get one sentence abstract summaries, select relevant papers and search for more like them, extract details from papers into an organized table.
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Find themes and concepts across many papers
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Tons of features to speed up your research
Upload your own pdfs, orient with a quick summary, view sources for every answer, ask questions to papers, research for the machine intelligence age, pick a plan that's right for you, get in touch, enterprise and institutions, common questions. great answers., how do researchers use elicit.
Over 2 million researchers have used Elicit. Researchers commonly use Elicit to:
- Speed up literature review
- Find papers they couldn’t find elsewhere
- Automate systematic reviews and meta-analyses
- Learn about a new domain
Elicit tends to work best for empirical domains that involve experiments and concrete results. This type of research is common in biomedicine and machine learning.
What is Elicit not a good fit for?
Elicit does not currently answer questions or surface information that is not written about in an academic paper. It tends to work less well for identifying facts (e.g. "How many cars were sold in Malaysia last year?") and in theoretical or non-empirical domains.
What types of data can Elicit search over?
Elicit searches across 125 million academic papers from the Semantic Scholar corpus, which covers all academic disciplines. When you extract data from papers in Elicit, Elicit will use the full text if available or the abstract if not.
How accurate are the answers in Elicit?
A good rule of thumb is to assume that around 90% of the information you see in Elicit is accurate. While we do our best to increase accuracy without skyrocketing costs, it’s very important for you to check the work in Elicit closely. We try to make this easier for you by identifying all of the sources for information generated with language models.
How can you get in contact with the team?
You can email us at [email protected] or post in our Slack community ! We log and incorporate all user comments, and will do our best to reply to every inquiry as soon as possible.
What happens to papers uploaded to Elicit?
When you upload papers to analyze in Elicit, those papers will remain private to you and will not be shared with anyone else.
How accurate is Elicit?
Training our models on specific tasks, searching over academic papers, making it easy to double-check answers, save time, think more. try elicit for free..
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The best AI tools for research papers and academic research (Literature review, grants, PDFs and more)
As our collective understanding and application of artificial intelligence (AI) continues to evolve, so too does the realm of academic research. Some people are scared by it while others are openly embracing the change.
Make no mistake, AI is here to stay!
Instead of tirelessly scrolling through hundreds of PDFs, a powerful AI tool comes to your rescue, summarizing key information in your research papers. Instead of manually combing through citations and conducting literature reviews, an AI research assistant proficiently handles these tasks.
These aren’t futuristic dreams, but today’s reality. Welcome to the transformative world of AI-powered research tools!
This blog post will dive deeper into these tools, providing a detailed review of how AI is revolutionizing academic research. We’ll look at the tools that can make your literature review process less tedious, your search for relevant papers more precise, and your overall research process more efficient and fruitful.
I know that I wish these were around during my time in academia. It can be quite confronting when trying to work out what ones you should and shouldn’t use. A new one seems to be coming out every day!
Here is everything you need to know about AI for academic research and the ones I have personally trialed on my YouTube channel.
My Top AI Tools for Researchers and Academics – Tested and Reviewed!
There are many different tools now available on the market but there are only a handful that are specifically designed with researchers and academics as their primary user.
These are my recommendations that’ll cover almost everything that you’ll want to do:
Find literature using semantic search. I use this almost every day to answer a question that pops into my head. | |
An increasingly powerful and useful application, especially effective for conducting literature reviews through its advanced semantic search capabilities. | |
An AI-powered search engine specifically designed for academic research, providing a range of innovative features that make it extremely valuable for academia, PhD candidates, and anyone interested in in-depth research on various topics. | |
A tool designed to streamline the process of academic writing and journal submission, offering features that integrate directly with Microsoft Word as well as an online web document option. | |
A tools that allow users to easily understand complex language in peer reviewed papers. The free tier is enough for nearly everyone. | |
A versatile and powerful tool that acts like a personal data scientist, ideal for any research field. It simplifies data analysis and visualization, making complex tasks approachable and quick through its user-friendly interface. |
Want to find out all of the tools that you could use?
Here they are, below:
AI literature search and mapping – best AI tools for a literature review – elicit and more
Harnessing AI tools for literature reviews and mapping brings a new level of efficiency and precision to academic research. No longer do you have to spend hours looking in obscure research databases to find what you need!
AI-powered tools like Semantic Scholar and elicit.org use sophisticated search engines to quickly identify relevant papers.
They can mine key information from countless PDFs, drastically reducing research time. You can even search with semantic questions, rather than having to deal with key words etc.
With AI as your research assistant, you can navigate the vast sea of scientific research with ease, uncovering citations and focusing on academic writing. It’s a revolutionary way to take on literature reviews.
- Elicit – https://elicit.org
- Litmaps – https://www.litmaps.com
- Research rabbit – https://www.researchrabbit.ai/
- Connected Papers – https://www.connectedpapers.com/
- Supersymmetry.ai: https://www.supersymmetry.ai
- Semantic Scholar: https://www.semanticscholar.org
- Laser AI – https://laser.ai/
- Inciteful – https://inciteful.xyz/
- Scite – https://scite.ai/
- System – https://www.system.com
If you like AI tools you may want to check out this article:
- How to get ChatGPT to write an essay [The prompts you need]
AI-powered research tools and AI for academic research
AI research tools, like Concensus, offer immense benefits in scientific research. Here are the general AI-powered tools for academic research.
These AI-powered tools can efficiently summarize PDFs, extract key information, and perform AI-powered searches, and much more. Some are even working towards adding your own data base of files to ask questions from.
Tools like scite even analyze citations in depth, while AI models like ChatGPT elicit new perspectives.
The result? The research process, previously a grueling endeavor, becomes significantly streamlined, offering you time for deeper exploration and understanding. Say goodbye to traditional struggles, and hello to your new AI research assistant!
- Consensus – https://consensus.app/
- Iris AI – https://iris.ai/
- Research Buddy – https://researchbuddy.app/
- Mirror Think – https://mirrorthink.ai
AI for reading peer-reviewed papers easily
Using AI tools like Explain paper and Humata can significantly enhance your engagement with peer-reviewed papers. I always used to skip over the details of the papers because I had reached saturation point with the information coming in.
These AI-powered research tools provide succinct summaries, saving you from sifting through extensive PDFs – no more boring nights trying to figure out which papers are the most important ones for you to read!
They not only facilitate efficient literature reviews by presenting key information, but also find overlooked insights.
With AI, deciphering complex citations and accelerating research has never been easier.
- Aetherbrain – https://aetherbrain.ai
- Explain Paper – https://www.explainpaper.com
- Chat PDF – https://www.chatpdf.com
- Humata – https://www.humata.ai/
- Lateral AI – https://www.lateral.io/
- Paper Brain – https://www.paperbrain.study/
- Scholarcy – https://www.scholarcy.com/
- SciSpace Copilot – https://typeset.io/
- Unriddle – https://www.unriddle.ai/
- Sharly.ai – https://www.sharly.ai/
- Open Read – https://www.openread.academy
AI for scientific writing and research papers
In the ever-evolving realm of academic research, AI tools are increasingly taking center stage.
Enter Paper Wizard, Jenny.AI, and Wisio – these groundbreaking platforms are set to revolutionize the way we approach scientific writing.
Together, these AI tools are pioneering a new era of efficient, streamlined scientific writing.
- Jenny.AI – https://jenni.ai/ (20% off with code ANDY20)
- Yomu – https://www.yomu.ai
- Wisio – https://www.wisio.app
AI academic editing tools
In the realm of scientific writing and editing, artificial intelligence (AI) tools are making a world of difference, offering precision and efficiency like never before. Consider tools such as Paper Pal, Writefull, and Trinka.
Together, these tools usher in a new era of scientific writing, where AI is your dedicated partner in the quest for impeccable composition.
- PaperPal – https://paperpal.com/
- Writefull – https://www.writefull.com/
- Trinka – https://www.trinka.ai/
AI tools for grant writing
In the challenging realm of science grant writing, two innovative AI tools are making waves: Granted AI and Grantable.
These platforms are game-changers, leveraging the power of artificial intelligence to streamline and enhance the grant application process.
Granted AI, an intelligent tool, uses AI algorithms to simplify the process of finding, applying, and managing grants. Meanwhile, Grantable offers a platform that automates and organizes grant application processes, making it easier than ever to secure funding.
Together, these tools are transforming the way we approach grant writing, using the power of AI to turn a complex, often arduous task into a more manageable, efficient, and successful endeavor.
- Granted AI – https://grantedai.com/
- Grantable – https://grantable.co/
Best free AI research tools
There are many different tools online that are emerging for researchers to be able to streamline their research processes. There’s no need for convience to come at a massive cost and break the bank.
The best free ones at time of writing are:
- Elicit – https://elicit.org
- Connected Papers – https://www.connectedpapers.com/
- Litmaps – https://www.litmaps.com ( 10% off Pro subscription using the code “STAPLETON” )
- Consensus – https://consensus.app/
Wrapping up
The integration of artificial intelligence in the world of academic research is nothing short of revolutionary.
With the array of AI tools we’ve explored today – from research and mapping, literature review, peer-reviewed papers reading, scientific writing, to academic editing and grant writing – the landscape of research is significantly transformed.
The advantages that AI-powered research tools bring to the table – efficiency, precision, time saving, and a more streamlined process – cannot be overstated.
These AI research tools aren’t just about convenience; they are transforming the way we conduct and comprehend research.
They liberate researchers from the clutches of tedium and overwhelm, allowing for more space for deep exploration, innovative thinking, and in-depth comprehension.
Whether you’re an experienced academic researcher or a student just starting out, these tools provide indispensable aid in your research journey.
And with a suite of free AI tools also available, there is no reason to not explore and embrace this AI revolution in academic research.
We are on the precipice of a new era of academic research, one where AI and human ingenuity work in tandem for richer, more profound scientific exploration. The future of research is here, and it is smart, efficient, and AI-powered.
Before we get too excited however, let us remember that AI tools are meant to be our assistants, not our masters. As we engage with these advanced technologies, let’s not lose sight of the human intellect, intuition, and imagination that form the heart of all meaningful research. Happy researching!
Thank you to Ivan Aguilar – Ph.D. Student at SFU (Simon Fraser University), for starting this list for me!
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Dr Andrew Stapleton has a Masters and PhD in Chemistry from the UK and Australia. He has many years of research experience and has worked as a Postdoctoral Fellow and Associate at a number of Universities. Although having secured funding for his own research, he left academia to help others with his YouTube channel all about the inner workings of academia and how to make it work for you.
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What makes Scite different from other tools?
Scite is an award-winning platform built on the world's largest citation statement database. We analyzed 1.2 billion citations from 200 million sources to create Smart Citations, which provide context and classify citations as supporting or contrasting evidence. This database also powers our AI chatbot, Assistant, and our literature search engine.
Extracted citations in a report page
Never waste time looking for and evaluating research again.
Our innovative index of Smart Citations powers new features built to make research intuitive and trustworthy for anyone engaging with research.
Find information by searching across a mix of metadata (like titles & abstracts) as well as Citation Statements we indexed from the full-text of research articles.
Build and manage collections of articles of interest -- from a manual list, systematic review, or a search -- and get aggregate insights, notifications, and more.
Evaluate how references from your manuscript were used by you or your co-authors to ensure you properly cite high quality references.
Explore pre-built journal dashboards to find their publications, top authors, compare yearly scite Index rankings in subject areas, and more.
Large Language Model (LLM) Experience for Researchers
Assistant by scite gives you the power of large language models backed by our unique database of Smart Citations to minimize the risk of hallucinations and improve the quality of information and real references.
Use it to get ideas for search strategies, build reference lists for a new topic you're exploring, get help writing marketing and blog posts, and more.
Assistant is built with observability in mind to help you make more informed decisions about AI generated content.
Here are a few examples to try:
"How many rats live in NYC?"
"How does the structure of a protein affect its function?"
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scite is an incredibly clever tool. The feature that classifies papers on whether they find supporting or contrasting evidence for a particular publication saves so much time. It has become indispensable to me when writing papers and finding related work to cite and read.
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Maastricht University
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As a PhD student, I'm so glad that this exists for my literature searches and papers. Being able to assess what is disputed or affirmed in the literature is how the scientific process is supposed to work, and scite helps me do this more efficiently.
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scite is such an awesome tool! It’s never been easier to place a scientific paper in the context of the wider literature.
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This is a really cool tool. I just tried it out on a paper we wrote on flu/pneumococcal seasonality... really interesting to see the results were affirmed by other studies. I had no idea.
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University of Toronto
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10 Best AI Tools for Academic Research in 2024 (Free and Paid)
Ayush Chaturvedi
20 min read
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Research can be a time-consuming endeavour. Sifting through mountains of literature, analyzing data, and crafting clear arguments can feel overwhelming.
However, you can streamline much of this research process with Artificial Intelligence (AI) tools, some of which are the best for research.
These AI-powered assistants can search vast databases in seconds, pinpoint relevant studies, and customize data to your specific research question.
They can also recommend key research articles and highlight emerging trends within your field, saving you time.
Additionally, with the help of the best AI tools for research, you can improve your writing and streamline your workflow with real-time grammar and punctuation checks, stylistic suggestions, and clear explanations of complex concepts.
But how do you choose?
Don't worry; we've got you covered.
We have created a list of all the best AI tools for research on the internet, filtering based on various factors and handpicked the top 10.
These research AI tools not only assist you in research but also integrate with your workflow and reduce your overall workload.
So let's get started.
Best AI Tools for Research at a Glance
What are research ai tools, benefits of using ai tools for research, factors to consider when choosing the best ai tools for research, top 10 best ai tools for research, key features of elephas , elephas pricing , elepahs reviews, chatgpt key features , chatgpt pricing , chatgpt reviews , typeset.io features:, typeset.io pricing , typeset.io reviews , quillbot key features , quillbot pricing , quillbot review , wordvice.ai features:, wordvice.ai pricing , wordvice.ai reviews , consensus ai key features , consensus ai pricing , consensus ai reviews , scite.ai features , scite.ai pricing , scite.ai reviews , scholarly key features, scholarcy pricing , scholarcy reviews , proofhub key features , proofhub pricing , proofhub reviews , research rabbit key features , research rabbit pricing , research rabbit reviews , limitations of ai tools for research, case study: how a professor used elephas in his lesson research process.
- Conclusion
1. Which AI is better for research?
2. is chatgpt good for research, 3. how can ai be used for research, 4. what is the best ai for phd.
Elephas: Summarize research, rewrite content in different styles, and organize summaries in a central "Super Brain" for easy access.
ChatGPT: Summarize news articles and answer research questions
Typeset.io: Streamline academic writing with templates and citation management.
Quillbot: Rephrase text and summarize complex materials for research.
Wordvice.ai : Ensure clarity, grammar, and originality in your academic writing.
Consensus AI: Search vast databases and filter research papers for quality.
Scite.ai: Get real citations and measure the credibility of research claims.
Scholarcy: Summarize complex articles and build a searchable research library.
ProofHub: Manage research projects with tasks, collaboration tools, and scheduling.
ResearchRabbit: Build a research library and get recommendations for new papers.
Research AI tools are game-changers for students, academics, and researchers, streamlining the entire research process.
With the help of the best AI tools for research as your personal research assistant, they help you find relevant articles, analyze information, and even improve your writing!
Imagine being able to find hundreds of relevant research papers in minutes, or getting a clear summary of a complex article with the click of a button. That's the magic of AI research assistants.
Some specialize in specific areas, like grammar and plagiarism checking, while others focus on broader tasks like literature review and research question development.
No matter your research needs, there's an AI tool out there to help you save time, improve your work, and produce higher-quality research.
Let's look closer at the features that a research AI tool offers
These AI-powered tools offer a variety of features such as:
- Effortless searching: Quickly find high-quality research papers by entering your topic.
- Smarter literature reviews: Get suggestions for key studies, authors, and research trends.
- Enhanced writing: Improve your writing with grammar checks, stylistic suggestions, and help with complex concepts.
- Citation management: Easily manage and format your citations to avoid plagiarism.
- Research organization: Build your research library and organize articles for easy access.
These are just a few examples of how AI research tools can save you time and effort, allowing you to focus on the analysis and critical thinking that truly matters.
Some tools even go beyond and offer a complete suite of AI features that cut down more than half of the research time.
Research can be a time-consuming endeavour. Sifting through mountains of literature, analyzing data, and crafting clear arguments can feel overwhelming. However, you can streamline much of this research process with Artificial Intelligence (AI) tools like Research AI tools.
Here are some benefits you can gain with Research AI tools:
Effortless Information Retrieval: AI tools can search vast databases in seconds, pinpointing relevant studies and data tailored to your specific research question.
Smarter Literature Reviews: No more wading through mountains of papers. AI can recommend key research articles, and influential authors, and highlight emerging trends within your field, saving you time and ensuring a comprehensive review.
Idea Generation: If you struggle to spark new research ideas, then AI can help you. It can brainstorm fresh research questions, and hypotheses, and even suggest innovative experiment designs to propel your research forward.
Writing Assistant & Editor: You can improve your writing and streamline your workflow with AI's editing prowess. Get real-time grammar and punctuation checks , stylistic suggestions, and clear explanations of complex concepts, all designed to elevate the quality of your research writing.
Enhanced Efficiency: AI automates tedious tasks like citation management and formatting, freeing you to focus on the analysis and interpretation of your research findings.
Personalized Research Assistant: AI tools can adapt to your research interests, suggesting relevant articles, recommending new avenues for exploration, and even summarizing complex research papers for a clearer understanding.
There are different AI tools present on the internet for different needs. So with the vast array of AI-powered research assistants available, selecting the most suitable tool can be problematic.
Here are some key factors to consider, when you choosing the best AI Tools for Research:
Your Research Needs: Identify your specific needs. Are you searching for literature, summarizing complex papers, or improving your writing? Different tools excel in various areas.
Features Offered: Align the tool's features with your needs. Do you require real-time citation suggestions or plagiarism checkers?
Data Accuracy and Credibility: Ensure the tool retrieves information from reliable sources. Scite.ai stands out for highlighting the credibility of research claims.
Ease of Use: Consider the platform's user-friendliness. Look for intuitive interfaces and clear instructions.
Cost: AI tools often have varying pricing structures. Some offer free trials or basic plans, while others require subscriptions. Determine your budget and choose a tool that aligns with it.
Integration Capabilities: Does the tool integrate with your existing workflow? Look for options that seamlessly connect with your preferred reference managers or writing platforms.
Most importantly, remember that AI research assistants are only there to increase your productivity in the research process, not to replace it .
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Elephas | Summarizes research papers, Rewrites content in various tones, organizes your research in its second brain | Premium Plan Starts at $4.99
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ChatGPT | Summarizes news articles and answers research questions | Premium Plan Starts at $20/month |
Typeset.io | Predefined templates, Citation management | Premium Plan starts at $7.78/month |
Quillbot | Paraphrases text, Summarizes complex materials | Premium Plan starts at $4.17/month |
Wordvice.ai | Grammar and clarity checks, Plagiarism detection | Premium Plan starts at $9.95/month |
Consensus AI | AI-powered search engine, Filters results by quality | Premium Plan Starts at $8.99/month |
Scite.ai | Real citations, Measures claim credibility | Premium Plan starts at $20/month |
Scholarcy | Summarizes complex articles, Builds a searchable database | Premium Plan Starts at $4.99/month |
ProofHub | Project management tools, Centralized collaboration | Premium Plan Starts at $45/month |
ResearchRabbit | Recommends new papers, Visualizes connections | Free Forever |
1. Elephas
![search research papers ai Elephas](https://superblog.supercdn.cloud/site_cuid_cl495vqej08071jpawt8inf39/images/image-cp-1714050358214-compressed.png)
Elephas is an innovative AI tool designed to supercharge your research and writing efficiency. It utilizes advanced technology to break down complex research papers, YouTube videos, and other content, extracting the key points and saving you valuable time.
Additionally, Elephas goes beyond summarizing – it can seamlessly integrate with your workflow and rewrite content in various tones, making it a versatile companion for all your writing needs.
Elephas doesn't just summarize research papers; it extracts key points and integrates seamlessly with your workflow. Whether you're a student, researcher, or content creator, Elephas helps you achieve more in less time.
Effortless Sum marization: Extract key points from research papers and YouTube videos with ease.
Centralized Hub: Keep all your research summaries organized in one place with Elephas Super Brain .
Seamless Content Creation: Create professional emails, engaging social media posts, and documents in just a few clicks.
Multiple Rewrite Modes: Choose from a variety of writing styles to make your content more engaging.
Super-Command Bar: Increase your productivity with features like article summarization and data extraction.
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$4.99/month | $4.17/month | $129 |
$8.99/month | $7.17/month | $199 |
$14.99/month | $12.50/month | $249 |
Elephas is also one of the best AI Tools for Summarizing Research Papers in the market right now. And it bundles up with a powerful iOS app as well.
It works locally and it's 100% privacy friendly!
If you own a Mac, you should definitely try it out.
![search research papers ai ChatGPT](https://superblog.supercdn.cloud/site_cuid_cl495vqej08071jpawt8inf39/images/image-cp-1714050366382-compressed.png)
ChatGPT , the tool behind the existence of many AI tools, is undeniably one of the best AI tools for research. With the right prompts, you can easily summarize any news articles , long notes, etc., in seconds. You can also ask ChatGPT research-related questions to gain a better understanding of research papers. Furthermore, you can improve your writing and avoid any grammar and punctuation mistakes. With the help of ChatGPT, the number of things you can do is endless.
Effortless Information Retrieval: Find the studies and data you need in a flash.
Smarter Literature Reviews: Get suggestions for key papers, authors, and research trends.
Idea Generation on Demand: Spark new research questions, hypotheses, and experiment designs.
Writing Assistant: Improve your writing with grammar checks, stylistic suggestions, and simplified explanations of complex concepts.
- Premium Plan Starts at $20/month
Some users have reported false money deductions and low-quality service provided in the premium subscription.
3. Typeset.io
![search research papers ai Typeset.io](https://superblog.supercdn.cloud/site_cuid_cl495vqej08071jpawt8inf39/images/image-cp-1714050371592-compressed.png)
Typeset.io streamlines the entire academic writing process, saving you time and frustration. This user-friendly platform offers a variety of features to help you write, collaborate, and publish top-notch research. From predefined templates to AI-powered writing assistance, Typeset.io empowers researchers of all levels to achieve their scholarly goals.
Effortless Formatting: Predefined templates ensure your paper meets journal requirements.
Citation Breeze: Manage citations and references effortlessly, with automatic generation.
Seamless Collaboration: Work together on research papers in real time.
Smart Journal Selection: Find the perfect fit for your research with a built-in journal database.
Premium Plan Starts at $7.78/month
Users have reported that the tool doesn't notify at the end of the free trial and sneakily charges for the premium plan. Additionally, once the plan is purchased, the money is non-refundable. Some have claimed that even after cancelling the subscription, the customer service did not cancel it and still charged their cards.
4. Quillbot
![search research papers ai Quillbot](https://superblog.supercdn.cloud/site_cuid_cl495vqej08071jpawt8inf39/images/image-cp-1714050376916-compressed.png)
Quillbot is your AI research companion, offering several time-saving features to streamline your workflow. It is designed to assist researchers of all levels. This tool utilizes advanced learning algorithms to enhance your writing and comprehension skills. With Quillbot, you can confidently paraphrase text, summarize complex materials, and ensure clear, plagiarism-free writing. Additionally, you can perform citations with high accuracy. Quillbot streamlines your workflow and strengthens your writing.
Paraphrasing & Summarizing: Quillbot rewrites sentences and condenses lengthy passages, saving you time and effort.
Language Enhancement & Learning: Improve your writing with advanced suggestions and explanations, perfect for non-native speakers.
Research Brainstorming: Generate fresh ideas from just a few keywords, overcoming writer's block.
Academic Accuracy & Citation Help: Ensure your writing matches specific citation styles and uses precise academic language.
- Premium Plan starts at $4.17/month
Users have reported that the tool is working slowly when used in Microsoft Word, and it often uses complex words while paraphrasing. Some have also reported that the rephrased content on Quillbot is detected as AI-generated content on various AI detection tools.
5. Wordvice.ai
![search research papers ai Wordvice.ai](https://superblog.supercdn.cloud/site_cuid_cl495vqej08071jpawt8inf39/images/image-cp-1714050383567-compressed.png)
Wordvice AI is one of the best AI tools for research, it is your one-stop shop for powerful writing assistance. This AI-powered tool uses cutting-edge technology to streamline your research workflow, saving you time and effort. From basic grammar and clarity checks to advanced plagiarism detection, Wordvice AI helps you to write with confidence and produce polished, original academic content.
All-in-one editing: Grammar, style, clarity, and fluency checks with real-time feedback.
Vocabulary booster: Get suggestions for synonyms and alternative phrasing to diversify your writing.
Academic writing companion: Ensures proper citation format, maintains a scholarly tone, and adheres to research conventions.
Originality assured: Scans millions of sources to prevent plagiarism in your work.
Premium Plan starts at $9.95/month
Users have reported that certain sentence patterns generated by AI are already found on existing web pages, which has led to an increase in plagiarism within content.
6. Consensus AI
![search research papers ai Consensus AI](https://superblog.supercdn.cloud/site_cuid_cl495vqej08071jpawt8inf39/images/image-cp-1714050388304-compressed.png)
Consensus AI is an innovative platform that uses artificial intelligence to simplify your search process. In just minutes, Consensus AI can search through vast databases and deliver hundreds of relevant, high-quality research papers directly to you. Also, Consensus AI filters results by date, study type, and journal quality, ensuring you find high-quality, credible sources to strengthen your research.
AI-powered Search Engine: Enter your research question and let Consensus AI scour vast databases to find relevant papers.
Time-Saving Efficiency: Gather hundreds of papers in minutes, freeing you up to focus on analysis and writing.
Comprehensive Results: Access a diverse range of studies, including randomized trials, reviews, and observational studies.
High-Quality Papers: Filter results by journal quality to ensure the credibility of your sources.
- Premium Plan Starts at $8.99/month
Users have reported that when we try to share the live demo over Zoom, the tool becomes slow and hangs. They think it is a hassle to jump between the browser and Zoom. They suggest introducing some integration features in the tool as a good solution.
7. Scite.ai
![search research papers ai Scite.ai](https://superblog.supercdn.cloud/site_cuid_cl495vqej08071jpawt8inf39/images/image-cp-1714050394155-compressed.png)
Scite.ai is one of the best for reliable research assistance powered by Artificial Intelligence. Scite.ai tackles a common problem with AI research tools – unreliable citations. Unlike others, Scite.ai provides you with real citations to published papers, so you can be confident in the information you use. Even better, Scite.ai can analyze the research and tell you how many studies support or challenge a specific claim.
Create Dashboards: Organize your research findings in a user-friendly format.
Journal and Institution Metrics: Gain insights into the reputation of academic sources.
Interactive Visualizations: You can see research trends and connections come through visualizations of the tool.
Measure Claim Credibility: Scite.ai analyzes the strength of a claim by showing you how many studies support or refute it.
Premium Plan starts at $20/month
Users have noticed that sometimes the tool produces inaccurate citations, which can be problematic for researchers who rely on its accuracy. Additionally, some users believe that the tool's pricing is significantly higher compared to its competitors.
![search research papers ai Scite.ai Reviews](https://superblog.supercdn.cloud/site_cuid_cl495vqej08071jpawt8inf39/images/image-cp-1714050397998-compressed.png)
8. Scholarcy
![search research papers ai Scholarcy](https://superblog.supercdn.cloud/site_cuid_cl495vqej08071jpawt8inf39/images/image-cp-1714050399743-compressed.png)
Scholarcy is an AI-powered tool that acts like a personal research assistant, summarizing complex articles, reports, and even book chapters for you. Scholarcy quickly helps you understand the key points of any document and assess its relevance to your work, saving you precious time and effort. Whether you're a researcher, student, or just curious about the latest advancements, Scholarcy helps you quickly grasp key findings and identify relevant sources
Key Points at a Glance: Scholarcy extracts crucial information and organizes it into clear categories, making it easy to grasp the main ideas.
Seamless Integration: Scholarcy offers handy Chrome and Edge browser extensions, allowing you to summarize research directly from your web browser.
Visual Aids: Scholarcy can extract figures, tables, and images from articles, providing a more comprehensive understanding of the research.
Organized Knowledge: Build your searchable database of summarized research, making it easy to revisit key information later.
- Premium Plan Starts at $4.99/month
Some users are not satisfied with the complete summaries produced by Scholarcy, as some of the sentences are not actual sentences and need to be corrected. Additionally, some sentences do not make any sense. Other users have claimed that the quality of the tool has significantly dropped in recent months and it feels glitchy while using it.
9. ProofHub
![search research papers ai ProofHub](https://superblog.supercdn.cloud/site_cuid_cl495vqej08071jpawt8inf39/images/image-cp-1714050405165-compressed.png)
ProofHub is one of the best AI tools for research to streamline research projects. It's an all-in-one project management tool designed specifically to make research teams more efficient and effective. ProofHub centralizes everything your team needs in a single platform, allowing seamless collaboration and communication. Save valuable time and avoid confusion by ditching the scattered emails, documents, and endless meetings.
Effortless Task & Project Management: Organize your research projects with ease using powerful tools like Kanban boards and Gantt charts.
Centralized Hub for Collaboration: Keep your team on the same page with a central platform for file sharing, discussions, and real-time feedback.
Streamlined Time Tracking & Scheduling: Never miss a deadline again! ProofHub's time tracking and scheduling features help you stay on top of your research project's progress.
Automated Workflows: Save even more time by automating repetitive tasks and creating custom workflows perfectly suited to your research needs.
- Premium Plan Starts at $45/month
Users have expressed dissatisfaction with the user interface and email notifications of the tool, stating that they are not up to par. In addition, some have reported that certain features in Proofhub are not as impressive as those of its competitors.
10. Research Rabbit
![search research papers ai Research Rabbit](https://superblog.supercdn.cloud/site_cuid_cl495vqej08071jpawt8inf39/images/image-cp-1714050411232-compressed.png)
ResearchRabbit is another best AI tools for research, it helps you navigate through the vast world of scientific literature. Nicknamed the "Spotify for Papers," this innovative tool lets you explore research like never before. Build collections of articles you find interesting, and ResearchRabbit will cleverly suggest new papers that align with your specific interests. No more endless searches – ResearchRabbit becomes your personalized research assistant, saving you time and frustration.
Build your research library: Collect and organize articles you find interesting, all in one place.
Smart recommendations: Never miss a groundbreaking study! ResearchRabbit suggests new papers based on your interests, saving you valuable time.
Visualize connections: See how different research areas, authors, and ideas are linked together.
Collaboration made easy: Share your research collections with colleagues to work together more effectively.
Free Forever
We couldn't find any public reviews for the Research Rabbit. Therefore, we advise users to proceed with caution.
Many best AI tools for research suit different types of people, and these research AI tools have streamlined tasks and uncovered connections. However, they still have many limitations compared to manual research processes. Here's a closer look.
1. Accuracy and Bias: AI tools rely on the data they're trained on. If the data is biased or inaccurate, the results can be misleading. It's crucial to critically evaluate AI outputs and not rely solely on them.
2. Depth vs. Breadth: AI tools can efficiently scan vast amounts of literature, but they may miss nuances or subtleties within research papers. In-depth analysis and critical thinking remain essential for a comprehensive understanding.
3. Overreliance on Automation: AI shouldn't replace the core research process. Researchers should use AI to streamline tasks, not eliminate critical steps like evaluating source credibility and understanding research context.
4. Black Box Problem: Sometimes, AI won't explain its reasoning behind results. This lack of transparency can make it difficult to assess the trustworthiness of findings or suggestions.
5. Limited Scope: AI tools might not cover all relevant sources, especially niche or emerging research areas. Supplement your search with traditional methods like library databases and expert consultations.
In our community, we have found Elephas being used by some professors at a university, and they have shared their experiences on how they used it in their lesson research process. Here is how they did it:
1. Summarization: The professor utilized Elephas' ability to generate concise summaries of different textbooks and research papers. This allowed him to quickly grasp the core arguments and findings of numerous studies, saving him hours of dedicated reading time.
2. Video Research: Then the professor had to gather more knowledge to create a lesson plan, so he searched for some of the best lengthy video lectures. Packed with historical insights, these videos were no longer a trouble because Elephas efficiently summarized key points from them, enabling our professor to include this valuable information in his lessons without spending hours glued to the screen.
3. Building Knowledge Base: Finally, the professor used Elephas Super Brain to create a centralized hub for all his research summaries. This eliminated the need to sift through countless folders and documents, allowing him to access critical information instantly. Additionally, he utilized the Super Brain to better understand the lesson plan through the Super Brain chat feature of Elephas.
Let's see what Elephas was able to do for our professor who is striving to teach his students in-depth subject knowledge:
1. Increased Efficiency: The professor has seen a significant reduction in research time, freeing up valuable hours for lesson planning and development.
2. Deeper Lesson Understanding: With more time at his disposal, our professor was able to delve into the research he found most compelling, leading to a deeper understanding of historical topics.
3. Engaging Lectures: By using key insights from research summaries provided by Elephas, the professor's lectures became more informative and engaging for his students, helping in their understanding of the topic faster than before.
The professor's experience explains how Elephas can revolutionize the research process for academics. By saving time and streamlining workflows, Elephas helps researchers get deeper into their respective fields and create truly impactful learning experiences and also cut their research process to more than half.
Conclusion
In summary, AI research assistants are transforming how researchers approach their work. These tools can summarize complex information, find relevant studies, and even suggest new research ideas. Top choices include Elephas (which summarizes research papers and YouTube videos), ChatGPT (which summarizes articles and answers questions), and Typeset.io (which streamlines academic writing).
However, make sure to pick the best AI tool for research based on your requirements. Also, remember that while AI offers significant time savings and improved efficiency, it shouldn't replace critical thinking and human expertise in research because AI has several limitations that can degrade your research quality.
Elephas is the best AI tool for research, offering key features for researchers such as summarizing research papers, articles, and YouTube videos. Additionally, you can upload data to a "super brain" for retrieval and chat with uploaded PDFs for deeper understanding. This makes Elephas a strong AI tool for research tasks
Yes, ChatGPT can be a helpful tool for initial research exploration. It can brainstorm ideas, summarize complex topics, and even find relevant sources. However, for in-depth research, specialized academic databases and citation tools are better suited. These resources provide more reliable and accurate information, often with features like peer-reviewed content and advanced search options.
AI is revolutionizing research by summarizing complex information and assisting with content creation. AI tools can analyze research papers, articles, and even videos to extract key findings, saving researchers time and effort. AI can also rewrite content in different tones, making it a valuable asset for researchers who need to communicate their findings to various audiences.
Elephas is an AI tool designed to boost research and writing efficiency for PhD students and researchers. It summarizes complex research papers, YouTube videos, and other content, saving you time. Elephas also integrates with your workflow and rewrites content in various tones, making it a versatile PhD buddy.
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- Published: 02 August 2023
Scientific discovery in the age of artificial intelligence
- Hanchen Wang ORCID: orcid.org/0000-0002-1691-024X 1 , 2 na1 nAff37 nAff38 ,
- Tianfan Fu 3 na1 ,
- Yuanqi Du 4 na1 ,
- Wenhao Gao 5 ,
- Kexin Huang 6 ,
- Ziming Liu 7 ,
- Payal Chandak ORCID: orcid.org/0000-0003-1097-803X 8 ,
- Shengchao Liu ORCID: orcid.org/0000-0003-2030-2367 9 , 10 ,
- Peter Van Katwyk ORCID: orcid.org/0000-0002-3512-0665 11 , 12 ,
- Andreea Deac 9 , 10 ,
- Anima Anandkumar 2 , 13 ,
- Karianne Bergen 11 , 12 ,
- Carla P. Gomes ORCID: orcid.org/0000-0002-4441-7225 4 ,
- Shirley Ho 14 , 15 , 16 , 17 ,
- Pushmeet Kohli ORCID: orcid.org/0000-0002-7466-7997 18 ,
- Joan Lasenby 1 ,
- Jure Leskovec ORCID: orcid.org/0000-0002-5411-923X 6 ,
- Tie-Yan Liu 19 ,
- Arjun Manrai 20 ,
- Debora Marks ORCID: orcid.org/0000-0001-9388-2281 21 , 22 ,
- Bharath Ramsundar 23 ,
- Le Song 24 , 25 ,
- Jimeng Sun 26 ,
- Jian Tang 9 , 27 , 28 ,
- Petar Veličković 18 , 29 ,
- Max Welling 30 , 31 ,
- Linfeng Zhang 32 , 33 ,
- Connor W. Coley ORCID: orcid.org/0000-0002-8271-8723 5 , 34 ,
- Yoshua Bengio ORCID: orcid.org/0000-0002-9322-3515 9 , 10 &
- Marinka Zitnik ORCID: orcid.org/0000-0001-8530-7228 20 , 22 , 35 , 36
Nature volume 620 , pages 47–60 ( 2023 ) Cite this article
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A Publisher Correction to this article was published on 30 August 2023
This article has been updated
Artificial intelligence (AI) is being increasingly integrated into scientific discovery to augment and accelerate research, helping scientists to generate hypotheses, design experiments, collect and interpret large datasets, and gain insights that might not have been possible using traditional scientific methods alone. Here we examine breakthroughs over the past decade that include self-supervised learning, which allows models to be trained on vast amounts of unlabelled data, and geometric deep learning, which leverages knowledge about the structure of scientific data to enhance model accuracy and efficiency. Generative AI methods can create designs, such as small-molecule drugs and proteins, by analysing diverse data modalities, including images and sequences. We discuss how these methods can help scientists throughout the scientific process and the central issues that remain despite such advances. Both developers and users of AI tools need a better understanding of when such approaches need improvement, and challenges posed by poor data quality and stewardship remain. These issues cut across scientific disciplines and require developing foundational algorithmic approaches that can contribute to scientific understanding or acquire it autonomously, making them critical areas of focus for AI innovation.
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Change history, 30 august 2023.
A Correction to this paper has been published: https://doi.org/10.1038/s41586-023-06559-7
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Acknowledgements
M.Z. gratefully acknowledges the support of the National Institutes of Health under R01HD108794, U.S. Air Force under FA8702-15-D-0001, awards from Harvard Data Science Initiative, Amazon Faculty Research, Google Research Scholar Program, Bayer Early Excellence in Science, AstraZeneca Research, Roche Alliance with Distinguished Scientists, and Kempner Institute for the Study of Natural and Artificial Intelligence. C.P.G. and Y.D. acknowledge the support from the U.S. Air Force Office of Scientific Research under Multidisciplinary University Research Initiatives Program (MURI) FA9550-18-1-0136, Defense University Research Instrumentation Program (DURIP) FA9550-21-1-0316, and awards from Scientific Autonomous Reasoning Agent (SARA), and AI for Discovery Assistant (AIDA). Any opinions, findings, conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the funders. We thank D. Hassabis, A. Davies, S. Mohamed, Z. Li, K. Ma, Z. Qiao, E. Weinstein, A. V. Weller, Y. Zhong and A. M. Brandt for discussions on the paper.
Author information
Hanchen Wang
Present address: Department of Research and Early Development, Genentech Inc, South San Francisco, CA, USA
Present address: Department of Computer Science, Stanford University, Stanford, CA, USA
These authors contributed equally: Hanchen Wang, Tianfan Fu, Yuanqi Du
Authors and Affiliations
Department of Engineering, University of Cambridge, Cambridge, UK
Hanchen Wang & Joan Lasenby
Department of Computing and Mathematical Sciences, California Institute of Technology, Pasadena, CA, USA
Hanchen Wang & Anima Anandkumar
Department of Computational Science and Engineering, Georgia Institute of Technology, Atlanta, GA, USA
Department of Computer Science, Cornell University, Ithaca, NY, USA
Yuanqi Du & Carla P. Gomes
Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
Wenhao Gao & Connor W. Coley
Department of Computer Science, Stanford University, Stanford, CA, USA
Kexin Huang & Jure Leskovec
Department of Physics, Massachusetts Institute of Technology, Cambridge, MA, USA
Harvard-MIT Program in Health Sciences and Technology, Cambridge, MA, USA
Payal Chandak
Mila – Quebec AI Institute, Montreal, Quebec, Canada
Shengchao Liu, Andreea Deac, Jian Tang & Yoshua Bengio
Université de Montréal, Montreal, Quebec, Canada
Shengchao Liu, Andreea Deac & Yoshua Bengio
Department of Earth, Environmental and Planetary Sciences, Brown University, Providence, RI, USA
Peter Van Katwyk & Karianne Bergen
Data Science Institute, Brown University, Providence, RI, USA
NVIDIA, Santa Clara, CA, USA
Anima Anandkumar
Center for Computational Astrophysics, Flatiron Institute, New York, NY, USA
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Tie-Yan Liu
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Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, United Arab Emirates
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University of Amsterdam, Amsterdam, Netherlands
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Microsoft Research Amsterdam, Amsterdam, Netherlands
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AI for Science Institute, Beijing, China
Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA
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Harvard Data Science Initiative, Cambridge, MA, USA
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Kempner Institute for the Study of Natural and Artificial Intelligence, Harvard University, Cambridge, MA, USA
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All authors contributed to the design and writing of the paper, helped shape the research, provided critical feedback, and commented on the paper and its revisions. H.W., T.F., Y.D. and M.Z conceived the study and were responsible for overall direction and planning. W.G., K.H. and Z.L. contributed equally to this work (equal second authorship) and are listed alphabetically.
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Wang, H., Fu, T., Du, Y. et al. Scientific discovery in the age of artificial intelligence. Nature 620 , 47–60 (2023). https://doi.org/10.1038/s41586-023-06221-2
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As we continue to refine and update Scopus AI, we’re excited to announce a new feature called Copilot! Copilot uses both keyword and vector search tools, employing more and varied types of search technology to better process longer and highly complex queries and provide more specific responses. In addition to this, Copilot improves Scopus AI in several ways, including:
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Using trusted and curated Scopus content and following Elsevier’s responsible AI principles , the Scopus AI team leverages innovations like Copilot and RAG Fusion to provide precise, reliable answers. Start your research journey with these groundbreaking features:
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When you type your query into Scopus AI using everyday language - in English or any other language - the tool synthesizes abstracts from relevant documents to generate a Topic Summary and an Expanded Summary, enhanced by our patent-pending RAG Fusion technology.
Scopus AI always references its sources and indicates its confidence level in the relevancy of the response . Our Copilot search tool provides a transparency layer that explains exactly how the tool breaks down and optimizes your query.
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Build and deepen new knowledge with unique features
Whether you are new to an area or just want to learn more, it can be challenging to know what questions to ask and how to phrase them. Scopus AI suggests 'Go deeper' questions that help you drill down and broaden your understanding of the field.
And t o help you identify influential research on your chosen topic, Scopus AI mines the full Scopus database to create a list of Foundational documents – these are the high-impact papers most commonly cited by the papers used in the summaries.
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Open new avenues of exploration with Concept maps
Scopus AI uses keywords from research abstracts to generate an interactive Concept map for each query. This helps you get a bird's-eye view of the topic space and a more complete picture of your theme and its relationship with other research areas — even those outside your comfort zone.
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The Topic experts feature draws on the 19.6+ million author profiles in Scopus to find the top researchers linked to your query and generate a summary of their work and contributions.
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"The Scopus AI interface is intuitive and easy to use, it allows the researcher to obtain an overview of a problem, as well as identify authors and approaches, in a more agile search session than conventional search. It is a valuable tool for literature reviews, construction of theoretical frameworks and verification of relationships between variables, among other applications that are actually impossible to delimit." Read the full preprint opens in new tab/window
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Scopus AI is developed in line with Elsevier's Five Responsible AI Principles . For example:
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The technology that underpins Scopus AI is maintained for:
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Scopus AI was developed in response to a need identified by 60% of Scopus users: to learn about new topics more effectively.
Thousands of researchers, librarians and academic leaders worldwide were closely involved in the tool’s design and iterations . It was community feedback shaped the AI's location in Scopus, as well as development of the Concept map, Foundational documents and Expanded summary features. It also inspired our patent-pending RAG Fusion technology.
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We continue to engage with the research community daily via a variety of channels; for example, Scopus subscribers are selected at random to test the tool. The development team closely tracks this feedback and moves quickly in response, often within hours. Since Scopus AI’s launch, feedback has led us to introduce:
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On this page, we feature some of the questions most commonly asked by the community.
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What is scopus ai.
Scopus AI is an intuitive and intelligent search tool informed by generative AI (GenAI) that delivers insights with unprecedented speed and clarity . Built in close collaboration with the academic community, it provides a window into humanity's accumulated knowledge by surfacing insights from the metadata and abstracts in Scopus , Elsevier’s source-neutral and curated abstract and citation database .
Scopus AI uses natural language processing. That means that instead of searching for the right keywords or Boolean operators, you can just type in your question, statement or hypothetical using everyday language. Depending on what you want to know, Scopus AI’s Copilot query tool decides whether to use a vector and/or keyword search to locate relevant documents from across the 7,000+ publishers in the database, focusing on those published since 2003. It synthesizes the content of these documents’ abstracts to create an instant, easy-to-follow and (importantly) referenced Summary of the information you are seeking. For deeper insights, options such as the Expanded summary , Concept map , Foundational documents menu and Topic experts button enable you to continue exploring and learning.
Which Scopus content does Scopus AI draw on?
When Scopus AI generates a response to your query, it draws exclusively on the metadata and abstracts of the following content types in Scopus:
Book chapters
Conference papers
Short surveys
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Conference Reviews and Erratum are not included. We’ve also taken extensive steps to try to exclude all retracted articles.
Scopus AI currently considers abstracts published since 2003. This 20-year rolling timeframe ensures that the response you receive is always based on recent content.
However, for Foundational documents , Scopus AI mines the entire Scopus corpus to identify which documents have been commonly cited by the abstracts used to write your summaries. This provides you with a useful overview of the influential papers on your topic.
How does Scopus AI differ from other GenAI online tools?
Scopus AI minimizes hallucinations and bias by using only high-quality, curated Scopus content identified by our sophisticated a sophisticated blend of vector and keyword search .
Scopus AI shows its workings. For example, our Copilot search tool explains exactly how it breaks down and optimizes your query – a level of transparency that few other GenAI solutions currently offers. Scopus AI also provides clear references to the documents it uses to generate its response. And it tells you how confident it is that the response answers your query.
Scopus AI has been designed to avoid unnecessary data retention . The Elsevier Privacy Policy explains how all of our products collect, use and share your personal information.
The content that Scopus AI draws on is peer reviewed and has been rigorously vetted and selected for inclusion in Scopus by the independent Content Selection and Advisory Board . The board also regularly reevaluates that content.
Scopus AI has been developed and tested in close collaboration with the academic community to ensure it meets key needs and concerns. We continue to work with researchers to enhance the tool.
Scopus AI moves beyond providing just a simple summary response to offer unique features that enable you to continue exploring and learning.
Scopus AI draws on a unique and powerful blend of technology , this includes our in-house developed and patent-pending RAG Fusion algorithm that improves the quality of the search and responses.
Why do some of my peers have access to Scopus AI without a subscription and how can I get access?
Randomized user testing is one of the many ways that we collect user feedback on Scopus AI. Unfortunately, we can't accept requests to join the user testing because randomization is a fundamental principle to ensure statistical validity.
Scopus AI is now available for your institution to purchase. The exact cost depends on several factors, including whether you are an existing Scopus customer.
If your institution is interested in buying Scopus, Scopus AI, or would like to understand the benefits of combining the two products, please contact your Elsevier account team. New to Elsevier? Visit this page to be connected with an Elsevier representative.
If you are an individual user seeking access to Scopus AI, we recommend reaching out to your library to explore the available options.
How does Scopus AI ensure data privacy and security?
As we embed GenAI features in Scopus and other products, we do so in line with Elsevier’s Responsible AI Principles and Privacy Principles. Scopus AI has been developed and tested in close collaboration with the academic community , to ensure it meets key needs and concerns.
For Scopus AI, we use OpenAI’s large language model (LLM) ChatGPT hosted on Microsoft Azure and have an agreement in place that information passed to this service will not be stored or used for training purposes. Our use of OpenAI’s LLM is private, meaning there is no data exchange or use of our data to train OpenAI’s public model.
Scopus AI minimizes hallucinations by using only high-quality, curated Scopus content identified by our Copilot search tool. . This grounds Scopus AI when generating responses . Unlike many other natural language processing tools out there, Scopus AI shows its workings with clear references to the journals and documents it uses to generate a response. In addition, Scopus AI adheres to GDPR to guarantee user privacy . We don't store personal user information or chat history on our systems, unless done so in a compliant way that improves the product (like analytics or personalization). We also don’t share it.
You can also rest easy knowing that the journals that Scopus AI draws on are peer-reviewed and have been rigorously vetted and selected for inclusion in Scopus by independent experts on the Scopus Content Selection and Advisory Board .
How do you reduce the risk of hallucinations?
The prompt engineering that guides our large language models (LLMs) has been designed to be extremely strict, with clear instructions and scope. For example, the response that Scopus AI generates must match the intent of your query. If the AI can’t find relevant academic papers in Scopus, it must inform you. And when Scopus AI does make a claim or assertion, a reference is always required.
Scopus AI was one of the first products to pioneer what is rapidly becoming the gold standard for LLM use – the RAG Fusion model. It’s an approach that improves the quality of both the search retrieval and the generation of LLM summaries.
Scopus AI responses are also regularly tested against two rigorous evaluation frameworks. Together, these factors reduce the risk of hallucinations, and we continue to work on developments to further limit those risks.
What are you doing to tackle different forms of bias?
We take bias very seriously. Scopus AI draws exclusively on the academic content in Scopus, enabling us to point directly to the abstracts behind any claims or assumptions it makes. Our search tools identify the abstracts that most closely match your query – this ensures that content is selected based on its ability to answer your question, not the number of citations it has received, or the journal it was published in.
If your query has a strong bias, there is a risk that bias might be reflected in the response you receive. Even if your question is neutral, there may be bias in the Scopus documents that the AI identifies for its response. One of the ways we mitigate this is by testing Scopus AI against two rigorous evaluation frameworks. One in particular requires Scopus AI to answer questions linked to areas of potential bias so that we can identify and minimize inappropriate responses. And we actively test the service using both internal and external queries, like Quora’s Insincere Questions Classification .
Our prompt engineering also plays an important role, instructing the LLM to filter out ‘unsafe’ answers; these are typically responses that exacerbate prejudice, harm or stereotypes against specific individuals or groups. We also have easy feedback mechanisms for users to report harmful or biased responses they receive. These reports are manually reviewed by our team.
Does Elsevier permit GenAI tools to be listed as an author and are the summaries citable?
Elsevier's guidance for authors , reviewers and editors a llows the use of GenAI tools to improve the readability and language of a research article; however, our current policy is that a GenAI tool cannot be listed or cited as an author . This is because it is unable to accept responsibility and accountability for its work.
In the case of Scopus AI, it is designed to provide an overview or introduction to a topic based on real academic information. It is designed to be a guide, not an absolute source of truth, and it does not currently support versioning. For these reasons, we recommend that users cite the papers featured in the summaries, and not the summaries themselves. We will continue to review this position as the technologies mature.
In addition, our policies require that:
GenAI technology should always be applied as a support tool with human oversight and control.
Results should always be carefully reviewed and edited, where necessary.
Authors should declare if and how they have used a GenAI tool in their paper.
Please note: the guidance we link to above refers to the use of GenAI tools in the writing/editorial process, and not to the use of AI tools to analyze and draw insights from data as part of the research process. In addition, this guidance is focused on Elsevier policies - your institution and funder may have their own policies in place around the use of GenAI tools, as may the journals you submit to.
Does Scopus AI support languages other than English?
Scopus AI was developed in partnership with the academic community and your feedback continues to shape its evolution. One of the things we learned during user testing is that many of you who don’t have English as your first language are still happy to read in English.
However, you want the option to enter queries in your own language. We have taken this feedback on board: the powerful Copilot query interpretation tool we launched in August 2024 can understand queries, whatever language they’ve been written in. We will continue working with the academic community to understand how expanding the tool’s language capabilities may benefit you.
“…with Scopus AI, you can use more informal language when searching, and you get pretty much the same results as you do with the technical terms. I think that’s one of the great benefits of using the tool.” Read the full interview
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Bruno Augusto
PhD student at University of Aveiro, Portugal
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“I’ve been working with Scopus AI for a couple of months, and it’s been great. I’d previously used ChatGPT, but it’s not a tool for scientific literature review. When I heard there was something new based on Scopus — which is the database I trust most when I’m doing a literature review — I started using it a lot.” Read the full interview
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Dr Engie El Sawaf
Pharmacology Lecturer Assistant at Future University, Egypt
Join us in upcoming Scopus AI webinars, or watch the recordings from previous sessions.
Upcoming webinar: Leading the way for the next 20 Years of Scopus innovation
In this webinar, we will reflect on the past Scopus innovations as we approach the 20th anniversary of its launch. We will also unveil the exciting roadmap of planned Scopus AI innovations for 2024.
We’re offering two sessions to accommodate different time zones, with the same agenda for each.
Date Tuesday, 10 September 2024 Time Session 1 - 8:00 AM GMT | Register for session 1 opens in new tab/window Session 2 - 4:00 PM GMT | Register for session 2 opens in new tab/window
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Your most asked GenAI & Scopus AI questions answered opens in new tab/window Our expert panel addresses the most common questions asked by the research community
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10 Best AI Tools for Research: Consensus, Scite, Elicit & More
1. Consensus
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Scite is another powerful AI-powered tool that is ideal for students and researchers. It evaluates scientific studies to answer your questions, backed by real research and citations. Scite is widely used by universities, publishers, and corporations across the world. The feature called Smart Citations adds context to each citation and checks references to provide reliability of studies.
![search research papers ai 10 Best AI Tools for Research: Consensus, Scite, Elicit & More](https://beebom.com/wp-content/uploads/2024/07/scite-ai-tool-for-research.jpg?w=1024&quality=75)
3. SciSpace
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4. Semantic Scholar
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Furthermore, you can check out all the references and move to the DOI link to find the paper. The standout feature of Semantic Scholar is that it can perform advanced citation analysis across its large library of databases to provide relevant papers. If you want to discover scientific literature, Semantic Scholar is a great free AI tool.
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6. ScholarGPT
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And now that OpenAI has opened access to GPTs for all, free ChatGPT users can also chat with ScholarGPT or any other GPT without subscribing to the paid plan. So to find answers to your research questions, you must check out ScholarGPT.
7. Coral AI
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8. ResearchRabbit
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9. Connected Papers
Connected Papers is not an AI tool per se, but it’s incredibly useful for researchers. It helps students discover new and relevant academic papers that might be under the radar. This is done through a visual graph of papers, showing a starting point and connections based on similarity.
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10. ChatGPT and Perplexity
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ResearchRabbit
ResearchRabbit is an AI-powered research app that makes discovering and organizing academic papers incredibly easy. It allows you to view interactive visualizations and create collections
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Lumina Chat is an AI-powered search engine that lets you instantly get detailed answers from over 1 million journal articles and research papers. It allows
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CleeAI is a highly accurate AI-powered research tool engineered to deliver trusted, professional-quality responses. The superior contextual awareness significantly enhances the output making it 10%
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Exa (formerly known as Metaphor) offers an AI-powered search engine that can connect to the vast knowledge of the internet. Exa delivers highly relevant search
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Samwell AI is an AI writing assistant that’s specifically designed to help students and academics effortlessly write essays, research papers, and other academic content. Its
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Kahubi is an AI assistant that helps researchers write, read, and analyze more effectively. It enables you to draft parts of papers, summarize text, do
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ChatDOC lets you chat with PDFs and tables to quickly extract information and insights. Sources are cited for fact-checking, this is a ChatGPT based file-reading
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scite is an AI-powered research tool that helps researchers discover and evaluate scientific articles. It analyzes millions of citations and shows how each article has
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iAsk is a free AI-powered search engine that lets you get answers to your questions, find sources across the internet, educational videos, and more. Simply
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Genspark.ai
Genspark is an AI Agent engine where specialized AI agents perform research and generate custom pages called Sparkpages. Free from biases and SEO-driven content, Sparkpages
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BRAiN Assistant
Brain Assistant is an AI-powered tool that offers real-time internet searching along with the ability to create a personalized knowledge base from various sources such
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Grok AI is a large language model chatbot developed by xAI that is currently in early access. It’s designed to be a resourceful AI assistant
Discover the latest AI research tools to accelerate your studies and academic research. Search through millions of research papers, summarize articles, view citations, and more.
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Seamlessly combine Dimensions data with your own private and external datasets to analyze billions of data points in seconds and create actionable insights.
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Stream research data into your workflows without manual intervention and access full text search and data retrieval for use in complex analyses and visualizations
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Using AI for research: A beginner’s guide
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Table of Contents
From the invention of the first wheel for moving around faster to Galileo observing the cosmos using a telescope, there has been no shortage of instances where scientists have used technology to do their work more efficiently. And isn’t that the whole point? Since human faculties can be limiting.
Using AI for research is no different, particularly in current times where the research landscape is evolving at an unprecedented rate. New scientific domains are sprouting frequently, millions of papers are being published every year , and there are vast amounts of data needing to be synthesized.
This is where artificial intelligence can assist, augment, and even revolutionize the way we discover, conduct, and write scientific research. Generative AI has proven itself to be more than a simple buzzword to the point where it can provide real useful value to a researcher at any level.
How can you use AI for research?
AI has proven itself to be handy in many professional circumstances. In academic research , you can easily fit it into several stages of your workflow. Here are some of the ways you can use it:
Finding and reviewing relevant papers
If you go about conducting a manual literature review, you’re talking about countless days of dedicated effort in search and reading. On the other hand, AI can significantly reduce the time and effort it takes to conduct a literature review.
There are AI search engines in plenty that comb through vast databases of research papers, identify relevant papers, and even summarize key findings. This can help you speed up paper analysis, find trends or gaps in the literature, and discover a research question faster.
Most of these AI research assistants and ChatPDF tools help you discover new research articles based on a more accurate semantic search. Even if you don’t have the right keyword, you will still be able to find the correct papers.
Comprehending academic papers
AI can make academic papers easier to read and understand by simplifying jargon and complex topics in research papers. They can also summarise long papers into shorter reads so that you save quite some time while going through heaps of scientific articles.
Some AI assistants let you interact with papers, meaning you can essentially have a conversation with the PDF you’re reading. You can enter prompts like a simple question to get an answer or even ask to create a presentation. The AI tool will read the paper and give the output.
Academic AI tools are also alleviating language barriers by allowing users to do the above task in their native languages.
Data collection and analysis
AI can automate data collection processes by quickly gathering information by mining large databases. Even more impressive is when AI starts analyzing this huge data. For humans, it would be unfathomable to go through a mountain of data, uncovering patterns, trends, and correlations. However, for AI tools, it’s a rather easy process with less room for error.
Whether it’s data entry or data analysis, manually working with data can be an uphill task. Through AI, you will be able to arrive at more accurate insights faster, which sets a high-quality foundation for your research.
Better academic writing
Language models can assist in better writing regardless of your comprehension skill.
They can help with accurate citations, along with providing grammar and style suggestions as you are writing your paper or essay. This means you can now automate proofreading and creating citations.
AI also solves the problem of stiff scientific writing. Tools like paraphrasers and co-writers give you a great opportunity to instantly improve your writing skills and convey your thoughts in the way you actually wish.
Seamless team collaborations
AI can significantly enhance group projects where collaboration and communication are of focus. Through project management research tools, you can automate tedious tasks, manage documents better, and facilitate better communication by creating common workspaces online.
If you’re working with people from different linguistic backgrounds, AI can help you translate in real-time while you’re on calls.
Instant plagiarism checks
Maintaining academic integrity is a non-negotiable while submitting papers. AI tools can help detect plagiarism or the presence of AI in your writing. These tools scan your work, compare it to an extensive database of academic and online content, and flag potential instances of plagiarism.
Similarly, AI detectors recognize the pattern that AI writing follows and proceed to highlight any instances of such writing in your prose.
Best AI tools for research workflows
Combine the importance of AI in modern-day research life with this huge wave of generative AI and ChatGPT in the past couple of years, it should come as no surprise that there is a host of extremely helpful AI tools for research.
Here are 5 best AI tools for researchers which can be integrated to your workflow:
SciSpace is an AI platform specifically made for researchers that eases research discovery, reading, and writing. It sits on top of a repository of 270 million+ papers and offers a spectrum of AI tools, including a literature review tool to find relevant information about scientific papers and an AI research assistant called SciSpace Copilot to answer questions about any PDF document. There is also a Copilot Chrome browser extension that can help you understand academic articles on any website.
![search research papers ai SciSpace-AI-Chat-For-Scientific-PDFs](https://typeset.io/resources/content/images/2023/10/SciSpace-2.jpg)
Litmaps is a handy discovery tool that assists researchers in navigating through scientific literature. It generates interactive literature maps consisting of articles related to a specific journal article or research topic. These maps enable researchers to find appropriate papers, connect the pattern between them, and exchange their knowledge about a particular field of study. The tool is both free and paid
![search research papers ai Litmaps-Literature-Map-Software-For-Lit-Reviews-And-Research](https://typeset.io/resources/content/images/2023/10/Litmaps-1.png)
EndNote is a reference managing tool that assists you in sorting your bibliographies and references while writing essays, reports, and journal articles. It allows you to create a personal database of references and files, as well as insert references into a Word document and automatically format them in your preferred citation style.
![search research papers ai Endnote-Accelerate-Your-Research](https://typeset.io/resources/content/images/2023/10/Endnote-2.png)
One of the more widely known free productivity software, Notion lets you jot down notes, arrange thoughts, and handle tasks and projects efficiently. During research, Notion can be an excellent tool when you’re collaborating with teams as your team members can comment on the documents, create dynamic content like tables, graphs, etc., and use its AI assistant to complete their tasks.
![search research papers ai Notion-Organize-Your-Work](https://typeset.io/resources/content/images/2023/10/Notion.png)
Otter.ai is a boon while you’re in meetings or recording audio while you work. The AI tool automatically transcribes everything you’re saying and generates live captions during meetings. You can also connect Otter.ai with popular meeting apps like Zoom or Google Meet.
![search research papers ai Otter-Voice-Meeting-Notes](https://typeset.io/resources/content/images/2023/10/Otter.ai-1.png)
Best practices while using AI for academic research
While AI is predominantly a boon for researchers, all things have their pros and cons. AI is still a technology in its infancy, as experts call it, and it should be treated as such. So before you become completely dependent on it, here are a few things you should keep in mind while using an AI-powered research tool:
Ensure data quality and bias
Before you start to analyze data using AI, take a moment to consider the quality of your input. Because if you feed low-quality data to a machine, you can't expect a high-quality output. That just isn’t how it works.
AI cannot think for itself in the same way humans do. At best, it can learn from everything it has been fed and predict an output. So, make sure your data is premium, representative, and, most importantly, unbiased. Biased data can lead to skewed results and questionable conclusions.
Adhere to academic ethics
To reiterate again, academic researchers are bound by academic integrity. Plagiarism, AI-assisted writing, and privacy regulations are all of the highest priority while publishing a paper.
Thus, it’s always better to ensure your research complies with ethical standards and you use necessary plagiarism and AI detection tools before submitting your paper. How you write a paper is a reflection of who you are as a professional.
Check for hallucinations
While AI may seem perfect at all times, it has its moments that make you question the validity of the entire technology.
Sometimes, AI systems can generate results that seem plausible but are entirely incorrect or generate complete gibberish. There are also times when an AI might give you the correct answer but fake its sources. This is popularly known as a hallucination.
It’s quite obvious how it can be detrimental to your academic research, thus it’s always better to fact-check AI-generated output. Some AI assistants have real citations in their answers now, which helps build trust.
Maintain human oversight
While AI can automate and streamline many tasks, it can't replace human judgment, context, and expertise. And given how AI can, at times, hallucinate or give false output, it’s always better to have your human judgment review everything.
To leave you with
The academic world has undergone a profound change in the last few years thanks to AI. For some, it’s an invaluable resource from streamlining literature reviews to supercharging data analysis and academic writing. For others, it’s a grey area and presents some real concerns relating to academic integrity and watering down of content.
But the fact remains that AI, in most cases does help researchers around the world become more efficient, thus producing good-quality work in less time. As language models develop more and more, the use of AI for research will become even more prominent.
Frequently Asked Questions
AI tools can be used in research for finding relevant papers, reviewing and comprehending complex papers, data collection and analysis, better academic writing, and plagiarism detection.
Some of the best AI tools for researchers include SciSpace, Litmaps, Endnote, Notion, and Otter.ai.
Yes, you can use AI tools to write a research paper. From streamlining literature reviews to supercharging data analysis and academic writing, AI tools can make research more efficient. However, human intervention is vital to provide factual information to the readers.
AI can be used to identify relevant papers, summarize key findings, automate data collection, improve academic writing, and also detect plagiarism.
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The top list of academic search engines
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1. Google Scholar
4. science.gov, 5. semantic scholar, 6. baidu scholar, get the most out of academic search engines, frequently asked questions about academic search engines, related articles.
Academic search engines have become the number one resource to turn to in order to find research papers and other scholarly sources. While classic academic databases like Web of Science and Scopus are locked behind paywalls, Google Scholar and others can be accessed free of charge. In order to help you get your research done fast, we have compiled the top list of free academic search engines.
Google Scholar is the clear number one when it comes to academic search engines. It's the power of Google searches applied to research papers and patents. It not only lets you find research papers for all academic disciplines for free but also often provides links to full-text PDF files.
- Coverage: approx. 200 million articles
- Abstracts: only a snippet of the abstract is available
- Related articles: ✔
- References: ✔
- Cited by: ✔
- Links to full text: ✔
- Export formats: APA, MLA, Chicago, Harvard, Vancouver, RIS, BibTeX
![search research papers ai Search interface of Google Scholar](https://cdn.paperpile.com/guides/img/google-scholar-academic-search-engine-700x351.png)
BASE is hosted at Bielefeld University in Germany. That is also where its name stems from (Bielefeld Academic Search Engine).
- Coverage: approx. 136 million articles (contains duplicates)
- Abstracts: ✔
- Related articles: ✘
- References: ✘
- Cited by: ✘
- Export formats: RIS, BibTeX
![search research papers ai Search interface of Bielefeld Academic Search Engine aka BASE](https://cdn.paperpile.com/guides/img/academic-search-engine-BASE-700x428.png)
CORE is an academic search engine dedicated to open-access research papers. For each search result, a link to the full-text PDF or full-text web page is provided.
- Coverage: approx. 136 million articles
- Links to full text: ✔ (all articles in CORE are open access)
- Export formats: BibTeX
![search research papers ai Search interface of the CORE academic search engine](https://cdn.paperpile.com/guides/img/academic-search-engine-CORE-700x305.png)
Science.gov is a fantastic resource as it bundles and offers free access to search results from more than 15 U.S. federal agencies. There is no need anymore to query all those resources separately!
- Coverage: approx. 200 million articles and reports
- Links to full text: ✔ (available for some databases)
- Export formats: APA, MLA, RIS, BibTeX (available for some databases)
![search research papers ai Search interface of Science.gov](https://cdn.paperpile.com/guides/img/academic-search-engine-science-gov-700x395.png)
Semantic Scholar is the new kid on the block. Its mission is to provide more relevant and impactful search results using AI-powered algorithms that find hidden connections and links between research topics.
- Coverage: approx. 40 million articles
- Export formats: APA, MLA, Chicago, BibTeX
![search research papers ai Search interface of Semantic Scholar](https://cdn.paperpile.com/guides/img/academic-search-engine-semantic-scholar-700x307.png)
Although Baidu Scholar's interface is in Chinese, its index contains research papers in English as well as Chinese.
- Coverage: no detailed statistics available, approx. 100 million articles
- Abstracts: only snippets of the abstract are available
- Export formats: APA, MLA, RIS, BibTeX
![search research papers ai Search interface of Baidu Scholar](https://cdn.paperpile.com/guides/img/baidu-scholar-academic-search-engine-700x188.png)
RefSeek searches more than one billion documents from academic and organizational websites. Its clean interface makes it especially easy to use for students and new researchers.
- Coverage: no detailed statistics available, approx. 1 billion documents
- Abstracts: only snippets of the article are available
- Export formats: not available
![search research papers ai Search interface of RefSeek](https://cdn.paperpile.com/guides/img/refseek-academic-search-engine-700x401.png)
Consider using a reference manager like Paperpile to save, organize, and cite your references. Paperpile integrates with Google Scholar and many popular databases, so you can save references and PDFs directly to your library using the Paperpile buttons:
![search research papers ai](https://cdn.paperpile.com/guides/img/Paperpile-button-in-Google-Scholar-700x296.png)
Google Scholar is an academic search engine, and it is the clear number one when it comes to academic search engines. It's the power of Google searches applied to research papers and patents. It not only let's you find research papers for all academic disciplines for free, but also often provides links to full text PDF file.
Semantic Scholar is a free, AI-powered research tool for scientific literature developed at the Allen Institute for AI. Sematic Scholar was publicly released in 2015 and uses advances in natural language processing to provide summaries for scholarly papers.
BASE , as its name suggest is an academic search engine. It is hosted at Bielefeld University in Germany and that's where it name stems from (Bielefeld Academic Search Engine).
CORE is an academic search engine dedicated to open access research papers. For each search result a link to the full text PDF or full text web page is provided.
Science.gov is a fantastic resource as it bundles and offers free access to search results from more than 15 U.S. federal agencies. There is no need any more to query all those resources separately!
![search research papers ai](https://cdn.paperpile.com/guides/img/find-credible-illustr-400x400.png)
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Papers Pro simplifies this process with its AI-powered search. Now, with the AI Assistant, you can turn natural language searches into complex search queries effortlessly. To use this feature, go to ‘Search’ in the side menu and click the ‘advanced’ link under the search bar. Here, the AI Assistant will refine your search.
![search research papers ai search research papers ai](https://www.papersapp.com/wp-content/uploads/2024/09/BlogSearchFigure.png)
For example, we searched for PFOS research connected to Florida published between 2020 and 2024. As shown in the video, the query builder translates this natural language prompt into a Boolean search string, ensuring that all relevant articles are included in your search results. With this tool, you’ll never miss out on crucial research again.
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In the prompt shown below, a question was asked about the genome analyzed in the research article and if it can be found in any other fish. The highlighted text in the PDF indicates where the AI Assistant drew its answer from – making it easy to validate and confirm the accuracy of the response.
*The Chat with a PDF functionality is also available with limitations in Papers Essential.
![search research papers ai search research papers ai](https://www.papersapp.com/wp-content/uploads/2024/09/image3-1-1024x458.png)
Try out these sample prompts to get started using Chat with a PDF:
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- What are the key arguments or theories presented by the authors?
- Can you break down the statistical analysis used in this paper?
Uncover Patterns
Use the AI Assistant to identify commonalities and connections in your library of research. Ask questions on sets of articles, enabling you to discover commonalities or conduct cross-article searches with ease.
To use this tool, click on the Setting gear that appears when you hover over the library you would like to analyze. Hover over the Assistant option. Click on“Launch AI Session”. You will be taken to a new tab where you can type your question into the search bar to have the AI Assistant analyze your specified library.
![search research papers ai search research papers ai](https://www.papersapp.com/wp-content/uploads/2024/09/image1.png)
In this example, we’re looking for information on which shark species are mentioned in our selected group of articles:
![search research papers ai search research papers ai](https://www.papersapp.com/wp-content/uploads/2024/09/image5.png)
Once Papers AI is finished analyzing the articles, it was able to find dozens of different shark species mentioned across those articles:
![search research papers ai search research papers ai](https://www.papersapp.com/wp-content/uploads/2024/09/image2.png)
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Published 09/04/2024 by Cary Rankin in Blog , New Feature Alert ,
This week: the arXiv Accessibility Forum
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Computer Science > Computation and Language
Title: xlam: a family of large action models to empower ai agent systems.
Abstract: Autonomous agents powered by large language models (LLMs) have attracted significant research interest. However, the open-source community faces many challenges in developing specialized models for agent tasks, driven by the scarcity of high-quality agent datasets and the absence of standard protocols in this area. We introduce and publicly release xLAM, a series of large action models designed for AI agent tasks. The xLAM series includes five models with both dense and mixture-of-expert architectures, ranging from 1B to 8x22B parameters, trained using a scalable, flexible pipeline that unifies, augments, and synthesizes diverse datasets to enhance AI agents' generalizability and performance across varied environments. Our experimental results demonstrate that xLAM consistently delivers exceptional performance across multiple agent ability benchmarks, notably securing the 1st position on the Berkeley Function-Calling Leaderboard, outperforming GPT-4, Claude-3, and many other models in terms of tool use. By releasing the xLAM series, we aim to advance the performance of open-source LLMs for autonomous AI agents, potentially accelerating progress and democratizing access to high-performance models for agent tasks. Models are available at this https URL
Comments: | Technical report for the Salesforce xLAM model series |
Subjects: | Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Machine Learning (cs.LG) |
Cite as: | [cs.CL] |
(or [cs.CL] for this version) | |
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