mppsc mains essay paper

MPPSC Previous Year Question Paper with Answer Key; Download PDF

Jul 29, 2024

MPPSC Previous Year Question Papers are also available here to download in PDF format. MPPSC previous years’ question papers are crucial when it comes to preparing for MPPSC Prelims and Mains Exam. MPPSC Question Papers provide a great insight into the weightage of each topic and the exam pattern as well.

MPPSC SSE Prelims Question Paper 2024 with Answer Key; Download PDF

MPPSC Prelims 2024 Question Paper for the exam held on June 23, 2024 are available to download. You can download MPPSC Prelims 2024 Exam Question Paper via the links tabulated below:

MPPSC SSE Mains 2023 Question Paper with Answer Key; Download PDF

MPPSC SSE Prelims 2023 Question Paper with Answer Key; Download PDF

MPPSC SSE Mains 2022 Previous Year Question Paper PDFs

MPPSC SSE Prelims 2021 Previous Year Question Paper PDFs

MPPSC SSE Mains 2021 Previous Year Question Paper PDFs

MPPSC State Service Prelims 2022 Previous Year Question Paper PDFs

MPPSC 2022 Previous Year Question Papers PDFs

MPPSC SES 2021 Previous Year Question Papers PDFs

MPPSC Previous Year Question Papers & Answer Key; Download Set-wise

In the following tabular, candidates will be able to find the MPPSC previous years’ question papers along with answer keys in both English and Hindi.

MPPSC Prelims Previous Papers with Solutions

Candidates can check out various details regarding the upcoming MPPSC Latest Updates .

MPPSC Mains Previous Year Question Paper; Download PDF

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MPPSC State Services Prelims General Aptitude Full Test 2

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MPPSC Mains Previous Year Question Papers PDF (All)

All Previous Year Papers of MPPSC Mains (General Studies 1 to 4, General Hindi & Grammar, and Essay Writing) are uploaded on the website by ExamPhase. Download its PDF from the Links given below.

Here we have shared MPPSC Mains Previous Exam Papers which will help in the preparation for upcoming MPPSC Mains and other exams.

MPPSC Mains Previous Exam Paper

• First Paper – General Studies
• Second Paper – General Studies
• Third Paper – General Studies
• Fourth Paper – General Studies
• Fifth Paper – General Hindi and Grammar
• Sixth Paper – Essay Writing

MPPSC Mains General Studies First Paper 2020 MPPSC Mains General Studies Second Paper 2020 MPPSC Mains General Studies Third Paper 2020 MPPSC Mains General Studies Fourth Paper 2020

MPPSC Mains General Hindi and Grammar Fifth Paper 2020

MPPSC Mains Essay Writing Sixth Paper 2020

MPPSC Prelims Question Paper 2022 PDF With Answer Key

UP BEO Previous Year Question Paper PDF With Answer Key

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• Public Service Commission
• MPPSC Previous Year Papers

MPPSC Previous Year Papers (2015-2023) - MPPSC Pre & Mains Papers

MPPSC Previous Year Question papers are one of the key sources of the MPPSC Examination revision. The Madhya Pradesh Public Service Commission (MPPSC) conducts State Service Examination to recruit candidates in the state administration. MPPSC Examination 2023 is not yet announced and MPPSC 2021 examination is underway.

MPPSC Prelims exam 2021 took place on 19th June while the mains dates are yet not out. Hence, it gives the aspirants an ample amount of time to prepare for the examination with old MPPSC mains paper and MPPSC pre paper for Mains 2023 and Prelims 2023 respectively.

Aspirants to know the A to Z of other State Service Commission Exams can go through the  List of PSC Examinations with Important Details  here.

MPPSC Question Paper 2023

The Madhya Pradesh Public Service Commission releases the official MPPSC previous year question paper PDF along with answer keys once the entire recruitment process is complete. Since the recruitment notice of 2023 is not out given below are the MPPSC Previous Year Papers PDFs for 2021, 2020 and 2019 exams for candidates assistance.

MPPSC Question Paper 2021

The preliminary examination is the first stage of the MPPSC exam. It has two papers – General Studies and Aptitude. Both the papers are of 200 marks each with 2 hours allotted against each paper.

Candidates can download the latest MPPSC Prelims Question Paper 2021 PDFs for the GS 1 and CSAT :-

MP PCS Question Paper 2021 for Paper 2 CSAT will be uploaded here soon. Meanwhile candidates willing to appear for State Service Exam Madhya Pradesh can go through  MPPSC Eligibility Criteria .

MPPSC Pre Paper 2020

MPPSC PCS exam 2020 took place on 25 July 2021. Given below are the MPPSC Prelims Question Paper 2020 PDFs for the GS 1 and CSAT  which will help candidates in the exam preparation:-

MPPSC Mains Question Papers

Candidates can download MPPSC Pre Paper for Mains Exam 2020 given below for Paper 1 to Paper 6. There is no optional subject for MPPSC Mains exam.  –

MPPSC Pre Paper (2019)

MPPSC Prelims 2019 took place on 12th January 2020. Aspirants can download the MPPSC Pre Paper 2019 from the table below:

From the links below, you can download MPPSC question papers PDFs for the State Service Exam 2018, 2017, 2016 and 2015.

Candidates can also check UPSC IAS exam question papers at the linked article.

MPPSC Question Papers PDF

Candidates should go through the previous years’ question papers keeping the MPPSC Syllabus (Prelims and Mains) in mind.

Below you will get both MPPSC Pre Papers and MPPSC Mains Papers year wise for practice.

MPPSC Previous Year Papers 2018

MPPSC Previous Year Papers 2017

MPPSC Previous Year Papers 2016

MPPSC Previous Year Papers 2015

Importance of MPPSC Old Papers

The perfect strategy to crack the state service examination is through a mixture of tips. One such preparation tip is to make use of the MPPSC papers.

• Solving MPPSC previous year papers will help aspirants understand the demand of the questions in the examination.
• A candidate gets acclimated to the examination environment while he/she gives the previous year papers’ in the same mode.
• Solving MPPSC old papers will help you find out your weaknesses and strengths and accordingly you can modify your strategies to take questions.
• MPPSC question papers from past years will also help you to revise the topics that you have prepared ahead of the examination.

A candidate can go through MPPSC preparation post to get the booklist for the state services examination along with the tips to prepare.

For other state services’ question papers check the table below:

Aspirants can check UPSC, PSC Preparation articles below:

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MPPSC Previous Year Papers with Answer, Last 5 Year Paper PDF

Aspirants must practice MPPSC Previous Year Papers to get an idea about MPPSC 2024 Exam. Download MPPSC Previous Year Question paper PDF for last Five years from this article.

Table of Contents

MPPSC Previous Year Papers are essential resources for candidates preparing for the MPPSC Exam 2024. They offer valuable insights into the exam’s question patterns, enabling candidates to learn its requirements and become familiar with the format.

In this article we will provide a downloadable PDF of the Madhya Pradesh PSC PYQ paper with answers, empowering candidates to utilize this resource effectively in their preparation journey.

MPPSC Previous Year Question Papers

Candidates preparing for the Madhya Pradesh Public Service Commission (MPPSC) exams for 2024 may find great value in the Madhya Pradesh PSC PYQ. Candidates can get familiar with the exam structure and improve their time management skills by practising Previous year’s papers.

Solving these papers helps identify weak areas that need more study. Aspirants can download the MPPSC Previous Year Papers PDF provided below for the MPPSC exam scheduled for 23 June 2024.

MPPSC Prelims 2017 – 2021 Papers PDF

To make the MPPSC exam 2024 easy and simple we have given the full details of the MPPSC Prelims Previous Year Question Paper pdf. Candidates can download the MPPSC Prelims Previous Year Papers PDF from the link below and solve each question paper of MPPSC.

Solving MPPSC Prelims Previous Year Question Papers will help the candidates in overcoming the fear and anxiety that can affect a student’s journey in the examination hall.

MPPSC Previous Year Papers With Answers

MPPSC Previous Year Papers show the types of questions that can be asked in the exam and the difficulty level. This helps candidates plan their preparation better. By solving these papers, students learn what to study, how to create a strategy to cover all the content, and how to avoid unnecessary mistakes in the MPPSC exam.

Last 5 Year MPPSC Mains Question Paper PDF

Candidates need to familiarize themselves with the MPPSC Mains Previous Year Question Papers to understand the types of questions likely to appear. With the release of the MPPSC Notification 2024 for the upcoming exam, candidates should kickstart their preparation by studying the MPPSC Mains PYQ and their preparation strategy accordingly.

Benefits of Solving MPPSC Previous Year Papers

In this segment, we’ve explored how solving Madhya Pradesh PSC PYQ can provide candidates with insights into the advantages and benefits from the perspective of the MPPSC Exam. All eligible candidates will find it convenient to leverage the MPPSC Previous Year Question Papers effectively in their preparation endeavours.

• Candidates will be able to figure out the style and format of the questions from each section.
• It will help the candidates work out an appropriate approach to handle the questions in the MPPSC Exam.
• Students will get an idea about what type of questions they have to deal with in their MPPSC 2024 Exam.
• This will boost their confidence and help them compose their mind.
• Moreover, this will increase their speed, accuracy, and solving skills.
• They can eventually identify important and common topics that repeatedly appeared on the MPPSC Previous Year Question Papers.
• They will gradually start to comprehend the style of questions formed from each question.
• They will eventually get to know the pattern of questions asked in the MPPSC Previous Year Paper.

MPPSC Previous Year Paper Exam Pattern

To understand the paper format, types of questions, mark distribution, and the marking scheme used by recruitment officials, candidates should review the MPPSC exam pattern. For every incorrect answer, there is a negative marking of one-third (0.33) marks. Below is the pattern of the MPPSC question paper for the written exam:

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Is 2 years enough for MPPSC?

MPPSC Civil Services is a comprehensive exam requiring at least one year of preparation and ten to twelve hours of daily study. A few people are fortunate enough to succeed in a single attempt. Preparing for the MPPSC may be difficult at times, especially when we have a lot to learn in a short amount of time.

What does MPPSC stands for?

MPPSC stands for Madhya Pradesh Public Service Commission.

What is the time duration for MPPSC Prelims Exam 2024?

The time duration for MPPSC Prelims Exam is 4 hours (2 for each subject)

What are the stages for MPPSC Exam 2024?

There are 3 stages for MPPSC Exam- Prelims, Mains and Interview

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MPPSC Previous year Question paper pdf [Download]

Are you preparing for the Madhya Pradesh Public Service Commission (MPPSC) exams? You've come to the right place. At Rau's IAS Compass, we believe in the power of practicing with MPPSC previous year question papers to solidify your preparation and boost your confidence.

MPPSC Previous Year Question Papers (PYQs)

MPPSC Previous Year Question Papers (PYQ) are invaluable resources, serving as your guide through the intricacies of the MPPSC exam. These papers provide insight into the exam format, the types of questions you might encounter, and the topics that are frequently tested.

MPPSC Prelims Paper pdf

Why Practice with MPPSC Previous Year Question Papers?

• Understanding Exam Pattern : Get familiar with the MPPSC exam pattern, including question types, mark distribution, and overall structure, to strategically prepare for the exam.
• Identifying Key Topics : MPPSC exams cover a diverse syllabus. Analyzing previous years' papers helps identify frequently appearing topics, allowing you to focus your studies more effectively.
• Time Management Skills : Time management is critical in competitive exams. Practicing with past papers enhances your ability to manage time efficiently during the actual exam.
• Confidence Building : There’s nothing like the confidence boost you get from successfully tackling real exam questions from past years. It prepares you mentally and gives you a sense of achievement.

Deep Dive into Question Paper Analysis

Analyzing MPPSC's past papers isn’t just about practicing questions; it's about understanding the subtleties and patterns of the exam. This analysis helps you predict potential topics and adjust your study plan to strengthen weaker areas.

Exam Pattern Insights

• The MPPSC exam typically includes objective-type questions.
• It is essential to understand the specific format for the year you are preparing for, as patterns may vary.
• Familiarize yourself with the language options, duration, and sectional distribution specific to the MPPSC exam.

Applying for MPPSC

Candidates need to complete the online application process through the official MPPSC website. Stay updated with the latest notifications for accurate information.

Accessing MPPSC Previous Year Papers

You can find MPPSC previous year question papers on various educational platforms. Rau's IAS Compass offers a comprehensive collection of these papers, providing an invaluable resource for your exam preparation.

• UPSC Prelims 10 years Question Paper
• NEET PYQs Paper PDF

How do previous year MPPSC papers help in understanding the changing trends in the exam pattern?

Previous year papers reveal how the exam's focus areas and question styles have evolved over time, helping you adapt your preparation strategy to current trends.

Can solving MPPSC previous year papers improve answer accuracy in the objective sections?

Yes, regular practice with these papers enhances your ability to discern tricky questions and increases accuracy in answering multiple-choice questions.

How effective are previous year papers in predicting the difficulty level of the upcoming MPPSC exam?

While they can't predict the exact difficulty level, analyzing past papers gives a general sense of the complexity and depth of questions you can expect.

Is it beneficial to time myself while practicing with MPPSC previous year papers?

Absolutely, timing your practice sessions helps develop time management skills crucial for the real exam environment.

Where can I find detailed solutions and explanations for MPPSC previous year questions?

Detailed solutions are often available on educational platforms like Rau's IAS Compass, which provide comprehensive explanations to enhance your understanding and learning.

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MPPSC previous year question papers with answers pre & mains

Mppsc previous year question papers.

MPPSC candidates can download all MPPSC previous year question papers with answers pdf of year 2024, 2023, 2022, 2021, 2020, 2019, 2018, 2017, 2016 in english and hindi language.

Madhya Pradesh Public Service Commission (MPPSC) conducts the State Civil Services and Forest Service examination to select the desired candidates for Group A and Group B posts in MP departments.

This exam is one of the toughest exams of MP. MPPSC exam consists of 3 stages selection process, Preliminary, Main, and Interview. MPPSC has released the notification for the 2024 exam.

MPPSC Exam 2024 is a great opportunity for all those MPPSC candidates who are looking for a brilliant career in this sector. To help MPPSC candidates, we are providing MPPSC previous year question papers with answers pdfof year 2024, 2023, 2022, 2021, 2020, 2019, 2018, 2017, 2016, 2015 to practice & analyze their preparation.

MPPSC previous year question papers will help MPPSC candidates to analyze their preparation, understand the level of difficulty of the actual MPPSC exam, and improve their performance accordingly.

For better results in MPPSC Exam 2024, candidates have to regularly solve mock tests, practice papers, and MPPSC csat previous year question papers with answers pdf.

Download MPPSC Question Papers PDF

We have collected all the shift-wise MPPSC Question Papers with solutions to help you check the nature and difficulty level of the questions asked in the MPPSC Exam 2024.

These MPPSC previous year question papers with answers pdf will help MPPSC candidates tremendously in preparation for their MPPSC Exam 2024.

MPPSC candidates can solve these MPPSC previous year question papers to boost their confidence level & enhance their accuracy and preparation level for MPPSC exam 2024.

MPPSC candidates should remember to solve these MPPSC previous year paper with answer in a time-bound manner as this will help them with the real-time pressure while taking the MPPSC exam. MPPSC candidates can also develop time-management skills by solving these MPPSC csat paper pdf.

MPPSC candidates can easily download MPPSC previous year question papers with answers pdf in English and Hindi from below links.

MPPSC Prelims Previous Year Question Papers with Answers PDF

The table mentioned below has MPPSC prelims previous year question papers with answers pdf.

MPPSC Mains Previous Year Question Papers pdf with Solution

The table mentioned below has MPPSC Mains previous year question papers with answers pdf in hindi.

Benefits of Solving MPPSC Previous Year Question Papers

Solving MPPSC question papers can be a useful tool for MPPSC candidates in enhancing their preparation and improving their chances of success in MPPSC exam 2024.

Benefits of solving MPPSC question papers are given below:

• Solving MPPSC previous year question papers will help MPPSC candidates in understanding the MPPSC exam pattern and types of questions that may appear on the MPPSC exam 2024.
• MPPSC candidates can attempt these MPPSC previous year question papers by tracking the time spent on solving these MPPSC question papers and checking their efficiency level.
• Regularly solving MPPSC pre previous year question papers with answers pdf will help MPPSC candidates in scoring high marks in MPPSC exam by improving their accuracy and reducing the chances of making mistakes during the actual MPPSC exam.
• These MPPSC question papers will help MPPSC candidates in self-analyzing their weakness and MPPSC candidates can give more time and emphasis to those weak topics.
• Practicing MPPSC mains previous year question papers with answers pdf in hindi can help MPPSC candidates in understanding the level of difficulty of the MPPSC exam and prepare accordingly.

Preparation Tips for Solving MPPSC Question Paper

Solving MPPSC previous year question papers is an effective strategy to improve your performance and score high marks in MPPSC exam 2024.

MPPSC candidates should make sure to follow these preparation tips while solving MPPSC question paper to get the most out of their MPPSC preparation.

• Before you start preparing for MPPSC exam, make sure you are familiar with the MPPSC exam pattern.
• MPPSC candidates should understand the question pattern and regularly practice MPPSC previous year question papers to get familiar with the types of questions asked in MPPSC exam.
• MPPSC candidates should create a study plan that covers all the topics in MPPSC syllabus.
• MPPSC candidates should stay positive and motivated throughout their MPPSC exam preparation.
• MPPSC candidates should set a timer and try to solve MPPSC question paper within the given time frame. This will help MPPSC candidates to manage their time effectively during the MPPSC exam 2024.
• MPPSC candidates should analyze their performance after solving each MPPSC question paper and identify areas where they need to improve. This will help MPPSC candidates to focus on their weak areas and improve their performance in the actual MPPSC exam.

We hope our MPPSC previous year question papers with answers pdf for year 2024, 2023, 2022, 2021, 2020, 2019, 2018, 2017, 2016 has helped you. Please share this MPPSC previous year question paper pdf with your friends as well 🙏

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MPPSC Question Papers FAQs

Q: Where can I get MPPSC previous year question papers with answers pdf?

A: MPPSC candidates can get year-wise MPPSC previous year question papers with answers pdf at TutorialsDuniya.com

Q: Where can I get MPPSC solved question papers of last 10 years pdf?

A: TutorialsDuniya.com have provided MPPSC solved question papers of last 10 years pdf.

Q: How to download MPPSC previous years question papers?

A: MPPSC candidates can easily download year-wise MPPSC pre & mains previous year question papers with answers pdf in hindi & in english from TutorialsDuniya.com

Q: What are benefits of solving MPPSC previous year question papers?

A: Solving MPPSC previous year question papers will help MPPSC candidates in understanding the MPPSC exam pattern and types of questions that may appear on the MPPSC exam 2024.

Download MP Vyapam Previous Year Question Papers PDF

MP Vyapam candidates can download all MP Vyapam previous year question papers with answers pdf of year 2024, 2023, 2022, 2021, 2020, 2019, 2018, 2017, 2016 in english and hindi language.

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MPPSC Previous Year Question Paper: Download PDF Now

Updated on - Jan 18, 2024

MPPSC previous year question papers are available online for the job posts offered through the entrance exam. After the exams, the commission will release MPPSC 2023 question papers for the Prelims and Mains. MPPSC question paper 2023 for the subjects included in the exams will be available on the official website after the exam. 

Candidates preparing for the upcoming MPPSC Mains exam must review the MPPSC previous year's question papers to enhance their knowledge.

Table of Contents

MPPSC Previous Year Question Paper PDF

Mppsc prelims previous year question paper pdf, mppsc mains question papers pdf, benefits of mppsc previous year question paper.

The commission releases the MPPSC question papers on the official website as PDF files. Candidates can download and save the MPPSC Previous Year Question Paper, making accessing the questions at their convenience easier. The direct links to download MPPSC previous year's question papers for the Prelims and Mains exams held between 2022 and 2014 are available below.

Candidates can find the year-wise MPPSC Prelims question papers for papers I and II below. Click on the direct links to download the PDF files.

MPPSC 2022 Prelims Question Paper

MPPSC 2022 Prelims question papers for the General Studies papers I and II are below.

MPPSC 2021 Prelims Question Paper

The direct links to download MPPSC 2021 Prelims question papers are below.

MPPSC 2020 Prelims Question Paper

MPPSC 2020 Prelims question papers are tabulated below for papers I and II.

MPPSC 2019 Prelims Question Paper

The PDF files for the MPPSC exam 2019 question paper for papers I and II are below.

MPPSC 2018 Prelims Question Paper

The paper-wise MPPSC question paper 2018 for the Prelims exam is below.

MPPSC 2017 Prelims Question Paper

Candidates can check and download the MPPSC question papers for the Prelims exam held in 2017 from the table below.

MPPSC 2016 Prelims Question Paper

MPPSC old question papers for the 2016 Prelims exam are available below.

MPPSC 2015 Prelims Question Paper

The direct links to download the PDF files of the MPPSC 2015 Prelims question papers are below.

Candidates who qualify for the Prelims exam will be eligible to appear for MPPSC 2023 Mains exam. Contrary to the Prelims exam pattern, the MPPSC Mains exam consists of 6 papers. Candidates can check and download MPPSC previous year question papers for the Mains exam through the links provided below.

MPPSC Mains Question Paper 2020

The paper-wise MPPSC Mains question papers for the exam held in 2020 are below.

MPPSC Mains Question Paper 2019

MPPSC Mains question papers 2019 for papers I, II, III, IV, V and VI are below.

MPPSC Mains Question Paper 2018

The direct links to download MPPSC previous year question papers for the Mains 2018 exam are below.

MPPSC Mains Question Paper 2017

MPPSC Mains question papers for the exam conducted in the year 2017 are below for the 6 papers.

MPPSC Mains Question Paper 2016

Candidates must solve as many MPPSC previous year question papers as possible to enhance their exam preparation. Check the MPPSC Mains question papers for the 2016 exam below.

MPPSC Mains Question Paper 2015

As the exam pattern for the MPPSC exam has not changed drastically, solving MPPSC old question papers is highly recommended. MPPSC Mains question papers 2015 are below.

MPPSC previous year question papers are one of the most important materials required for proper exam preparation. By referring to different year MPPSC question papers, candidates can understand the important topics from which questions are asked frequently. This can help them spend more time on important topics rather than focusing on the less important ones.

MPPSC question papers are released on the official website after each session exam is conducted. Candidates can also become more familiar with the exam pattern by solving the MPPSC previous year's question papers. Hence, they can be more confident answering the MPPSC 2023 question papers.

The benefits of solving MPPSC previous year's question papers are elaborated below.

• MPPSC previous year papers help candidates to be familiar with the exam pattern and the type of questions asked in each section.
• Candidates can understand how they must appropriate the exam question paper by practising with the MPPSC previous year's papers.
• Solving as many question papers as possible will help them answer the questions for their exam quickly and more accurately. 
• By noting the repeatedly asked questions, candidates can save time by focusing more on the important topics rather than wasting it on the general topics.
• Candidates will be more confident to appear for the exam as they will be familiar with the question paper after solving multiple MPPSC previous year question papers.

How to download MPPSC previous year paper for Prelims?

Candidates can download the year-wise MPPSC previous year papers for the Prelims exam from the above article. The Prelims papers are also available on the official website of MPPSC.

From where can I download MPPSC previous year paper with answers?

MPPSC previous year paper with answers is available on the official website of the commission as PDF files. Candidates can click the direct links on the official page to download the MPPSC previous year question papers with answers PDF for the respective year.

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MPPSC MAINS Booklist

Last Updated on August 2, 2022

Friends, In this post we are going to tell you about, MPPSC MAINS booklist. These books are suggested by the previous year MPPSC toppers. Before checking out the booklist, we will see the scheme of the MPPSC MAINS examination.

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MPPSC MAINS examination is consist of a total of 6 papers. Also, there is no Optional kind of subject in the MPPSC Mains exam. Because most of the aspirants always ask, which Optional subject they should choose, So, we want to clarify in one line, that there is no optional subject/paper in MPPSC Mains Exam.

So, the MAINS examination consists of below 6 papers.

Latest MPPSC MAINS Exam Syllabus

You can also check MPPSC Prelims Booklist on our website.

Now coming to MPPSC MAINS Exam booklist. On this page, you will find many booklists which is referred by MPPSC toppers. Let’s check it out.

Booklist for MPPSC 2021

Here you can check Booklist for MPPSC 2020 by Miss Sampada Saraf (Rank-1, MPPSC 2017). As the commission has changed the syllabus for MPPSC 2020, so few new books are added here. If you have any queries regarding MPPSC 2020 booklist, scheme or syllabus , you can always contact us on Whatsapp or Telegram .

• NEW NCERT – 6,7,8,12 [ Hindi or English ]
• Ancient India by RS Sharma
• Medival India by Satish Chandra
• Modern India by Bipin Chandra
• Or Spectrum For Modern India [ Hindi or English ]
• Lucent General Knowledge [ Hindi or English ]
• CCRT Website
• NCERT 11th Class
• Nitin Singhania [ Hindi Or English ]

Geography –

• NECRT – 6,7,8,9,10 & 11,12 [ Hindi or English ] Note – 11th and 12th are most Important
• NCERT – 11th Class
• Laxmikanth [ Hindi Or English ]
• Governance in India by Laxmikanth [ Hindi Or English ]
• OP Gauba [ Hindi Or English ] or
• N Jayapalan
• Public Administration – Laxmikanth [ Hindi or English ]

Note – Read Only Selected Chapters

• Bipin Chandra or
• Yellow Books Vajirao & Ravi (Available on Telegram Channel)
• NCERT – 11th and 12th [ Hindi or English ]
• Indian Economy by Ramesh Singh [ Hindi or English ]
• Economic Survey & Budget – Union and Madhya Pradesh

Sociology –

• NCERT -11th (Understanding Society) , 12th ( Indian Society, Social Change And Development In India )
• Social Problems In India – Ram Ahuja
• Current Affairs / Newspaper

Science & Technology –

• NCERT – 6,7 And 8,9,10
• Computer- Internet or Lucent Computer Book [ Hindi or English ]
• Maths – RS Agrawal , NCERT 9th &10th
• Health – Internet, Newspaper, Magazines
• TMH [ Hindi or English ]
• Shankar IAS [ English ]
• Majid Hussian [ Hindi ]
• NCERT 12th Biology

Note – Read only Last 4 Chapters of NCERT

• Geology – Geography NCERT Book 11th
• Terminology – Lexicon [ Hindi or English ]
• Subbarao or [ Hindi or English ]
• Karthikeyan or
• Case Studies – R. Rajagopalan
• Decode Ethics by Mudit Jain (For English Medium)
• Agrahari or  Abhay Kumar (For Hindi Medium)

Madhya Pradesh GK –

• Mukesh Maheshwari
• Tathya Baan
• Mukesh Maheshwari or
• MP Govt Websites
• Chancal Jain / Lucent Hindi
• Nibandh Manjusha

Monthly Magazines –

• Vision IAS Monthly Magazine
• Ghatna Chakra – Madhya Pradesh
• Pratiyogita Darpan

Other Useful Books –

• MPPSC Prelims Previous Year Paper [ Hindi or English ]
• Unsolved MPPSC Mains Previous Year Papers  
• Solved MPPSC Mains Papers

MPPSC Booklist by Harshal Choudhary

Rank-1 MPPSC 2018, Mr Harshal Choudhary has suggested this book list for English and Hindi Medium aspirants. Mr Choudhary attempted the MPPSC Mains exam in the English language.

For English Medium :

• Ancient History – Tamilnadu Board History Book
• Medival History – Tamilnadu Board History Book
• Modern History – Mrunal Website
• World History – Tamilnadu Board History Book
• MP History – Mukesh Maheswari Book , Coaching Notes
• Culture – Internet
• MP Geography – Mukesh Maheswari Book
• Indian Geography – Youtube lectures by Ms. Rajtanil Solanki
• World Geography – Youtube lectures by Ms. Rajtanil Solanki
• Soil – NCERT
• Disaster Management – Internet
• Polity – M Laxmikanth , Internet
• Social Sector (Paper II Part B) – Internet, Coaching Material
• Science – NCERT (Class 6 to 10)
• Environment – UPSC Notes from the Internet
• Indian Economics – NCERT Class 11th and 12th
• Ethics – Arihant , Subbarao

For Hindi Medium :

प्रश्न पत्र I – सामान्य अध्ययन पेपर (I)

• विश्व इतिहास – Akhil Murti
• प्राचीन भारतीय इतिहास – Old NCERT (RS Sharma) , लुसेंट
• मध्य कालीन इतिहास  – Old NCERT (Satish Chandra) , लुसेंट
• आधुनिक भारत – Spectrum (Rajiv Ahir) , लुसेंट
• मध्यप्रदेश संबंधी – पुणेकर , हिंदी ग्रंथ अकादमी
• NECRT Class 6-12
• महेश वर्णवाल
• मध्यप्रदेश भूगोल – Mukesh Maheshwari

प्रश्न पत्र II – सामान्य अध्ययन पेपर (II)

• संविधान – लक्ष्मीकांत
• स्वास्थ  शिक्षा – Mahaveer Publication, Current Affairs Magazine

प्रश्न पत्र III – सामान्य अध्ययन पेपर (III)

• विज्ञान  – NCERT 6-12 , लुसेंट
• तकनीकी, विकासशील तकनीकी – Drishti IAS Science & Tech
• NCERT 11-12 or
• Mahaveer Publication

प्रश्न पत्र IV- सामान्य अध्ययन पेपर (IV)

• नीतिशास्त्र – Mahaveer Publication, Subbarao , Drishti IAS Notes

प्रश्न पत्र V – सामान्य हिंदी

• चंचल जैन/ कुसुमलता श्रीवास्तव

प्रश्न पत्र VI – निबंध लेखन

• निबंध मंजूषा, Newspaper Editorial

MPPSC Booklist by Sampada Saraf

This book list is referred by Miss Sampada Saraf (Rank 1, 2017).  This will help both Hindi as well as English medium students. In this, you will find books for every subject which are in the MPPSC syllabus.

• Ancient – OLD NCERT ( Hindi or English )+ Lucent.
• Medieval – OLD NCERT + Lucent.
• Modern – Spectrum or OLD NCERT + Lucent .

GEOGRAPHY –

• NEW NCERT (6th – 12th)  – make notes
• Physical Geography – NCERT (11th)   + Lucent
• M. Laxmikanth
• Newspaper + Internet
• Governance by Laxmikanth
• NCERT (11th) ,  Sanjiv Verma (Makes Notes), Ramesh Singh

SOCIAL ISSUES –

• Make Own Notes, Vikaspedia , MP Govt Website
• New NCERT (9th,10th)

ENVIRONMENT –

• Internet/ Shankar IAS / Majid Hussain
• Class X NCERT/ R.S.Agrawal / TMH/ ARIHANT

TECHNOLOGY – 

• TMH – Science + Internet
• Lexicon / M. KARTHIKEYAN (TMH) / महावीर/ अग्रहरि + Internet
• Maheshwari or
• उपकार/ महावीर/ महेश्वरी/ TMH – For Hindi Medium Aspirants
• चंचल जैन / कुसुमलता श्रीवास्तव or
• Lucent Hindi
• निबंध मंजूषा

OTHER TOPICS – 

• ART & CULTURE – Spectrum
• DISASTER MANAGEMENT – NCERT + internet
• SECURITY ISSUES – TMH / M. KARTHIKEYAN

MPPSC Booklist by Nisha Bangre

This book list is provided by Miss Nisha Bangre (Dy. Collector, 2017) . It is available in both Hindi and English. This booklist is according to the syllabus of MPPSC Mains 2019 or Old Syllabus.

For Hindi Medium

प्रश्न पत्र I – सामान्य अध्ययन पेपर (I)

• विश्व इतिहास – NCERT , लुसेंट , Coaching material
• प्राचीन भारतीय इतिहास – NCERT , लुसेंट , Coaching material
• मध्य कालीन इतिहास  – NCERT , लुसेंट , Coaching material
• आधुनिक भारत – NCERT , लुसेंट , Coaching material, spectrum
• मध्यप्रदेश संबंधी – पुणेकर , हिंदी ग्रंथ अकादमी, TMH
• भारतीय संस्कृति – Spectrum , लुसेंट , Coaching material
• भूगोल –  महेश वर्णवाल , NCERT , आलोक sir के video.
• कृषि संबंधी – NIOS, दृष्टि, Coaching material, इंटरनेट
• जल प्रबंधन  – NIOS, दृष्टि, P. D.,Coaching material, इंटरनेट
• आपदा प्रबंधन – NIOS , Coaching material, इंटरनेट
• संविधान – लक्ष्मीकांत , पुणेकर, Coaching material
• शासन – लक्ष्मीकांत , पुणेकर, Coaching material
• सुरक्षा के मुद्दे – Coaching material, TMH
• सामाजिक एवं महत्वपूर्ण – Internet, Coaching material
• सामाजिक क्षेत्र, स्वास्थ्य शिक्षा व सशक्तिकरण शिक्षण प्रणाली, मानव संसाधन विकास, कल्याणकारी कार्यक्रम, लोक सेवा, लोक सेवाएं एवं लेखा, अंतर्राष्ट्रीय संगठन – Internet, Coaching material, जनसंपर्क वेबसाइट
• विज्ञान – NCERT, लुसेंट , Coaching material
• तर्क एवं आकड़ो की व्यावस्था – R. S. Agrawal
• तकनीकी, विकासशील तकनीकी – TMH , Internet
• पर्यावरण, ऊर्जा – परीक्षा मंथन, Coaching material
• भारतीय अर्थव्यवस्था – रमेश सिंह , प्रतियोगिता दर्पण(विशेषांक) ,  दृष्टि
• नीतिशास्त्र – दृष्टि मटेरियल, क्रोनिकल विशेषांक, पुणेकर, Coaching material
• चंचल जैन/ कुसुमलता श्रीवास्तव / पांडेय, Coaching material

For English Medium

PAPER I – GS(I)

• WORLD HISTORY – NCERT , Lucent , Coaching material
• ANCIENT INDIA – NCERT , Lucent , Coaching material
• MEDIEVAL INDIA – NCERT , Lucent , Coaching material
• MODERN INDIA – NCERT , Spectrum , Coaching material
• ART & CULTURE – Spectrum , Nitin Singhania notes
• Mukesh Meshwari or
• GEOGRAPHY – NCERT, Mahesh Barnawal , Coaching material
• AGRICULTURE PART – Shankar-IAS , Internet, Coaching material
• SOIL, FOOD PROCESSING, LAND REFORMS – NCERT, Internet
• WATER MANAGEMENT – Internet, Coaching material
• DISASTER & ITS MANAGEMENT – Internet, Coaching material

PAPER II – GS(II)

• CONSTITUTION – M. Laxmikanth , Coaching material
• GOVERNANCE – M. Laxmikanth , Coaching material
• SECURITY ISSUES – TMH , Coaching material
• SOCIAL & IMP LEGISLATION – Internet, Coaching material
• SOCIAL SECTOR, Health, Education & Empowerment, HRD, Education System, Welfare Programs, International Organisations, Public services, Public Expenditure – Internet, Coaching Material, Website of Public Relation Department.

PAPER III – GS(III)

• SCIENCE – NCERT, Lucent , Coaching material
• REASONING & DATA INTERPRETATION – R.S. Agrawal
• ENERGY, ENVIRONMENT & SUSTAINABLE DEVELOPMENT – Shankar IAS , Internet, Coaching material
• TECHNOLOGY & EMERGING TECH. – Internet, Coaching material
• INDIAN ECONOMY – Ramesh Singh, Coaching material

PAPER IV – GS (IV)

• ETHICS – Chronicle , G. Subbarao , Coaching material
• CASE STUDIES – Arihant, Coaching material

PAPER V – GENERAL HINDI

• Lucent , Chanchal Jain, Coaching material

PAPER VI – ESSAY WRITING

MPPSC Book List by Parag Saini (DSP)

Now, here is another MPPSC MAINS booklist , which is suggested by Mr Parag Saini (DSP, Rank 16, MPPSC 2017). This booklist is according to the syllabus of MPPSC Mains 2019 or Old Syllabus.

• Upkar Publication book or
• Mukesh Meheshwari
• WORLD HISTORY – Mrunal.org and Jain and Mathur ( Hindi  or  English ), PS ACADEMY NOTES.
• Indian History – Ancient from RS Sharma ( Hindi or  English ) And  Medieval from Satish Chandra .
• Modern History – SPECTRUM’s Book on Freedom Struggle ( English  or  Hindi )  and Video lecture by Pratik Nayak at Mrunal.org , India’s struggle for Independence by Bipan Chandra
• For Hindi Medium – SHIVLAL HISTORY BOOK of 12th MP Board and  B.L. Grover book .
• Indian Culture – Nitin Singhania BOOK ( Hindi  or  English )
• India after independence book of Bipan Chandra.
• Geography – Youtube lectures by Ms. Rajtanil Solanki
• Physical Geography – 11 TH  CLASS NCERT , G.C.LEONG ’s Book
• World Geography –  MAJID HUSSAIN , G.C.LEONG’s Book.
• Indian Geography –  D.R. Khullar,  MAJID HUSSAIN ( Hindi or English ), NCERT 11 TH  CLASS ,PS ACADEMY NOTES
• Disaster Management – NCERT book for Disaster MANAGEMENT, PS ACADEMY BOOK
• Indian Polity – NCERT 11 TH  , D D BASU ( Hindi or English ) M. Laxmikanth ( Hindi or English )
• Internal and external issue – RAJKUMAR SAMIYAPPAN PONNUSAMY BOOK , PS ACADEMY NOTES.
• Social Sector – Mrunal.org, PS ACADEMY BOOK, VisionIAS Notes, Ram Ahuja book, Newspaper(MOST IMP), INTERNET.
• Scheme for Government – Current affairs booklet PRATIYOGITA DARPAN, GHATNA CHAKRA, Rojgar  Nirman Weekly Newspaper, Government Websites.
• International Organisation – WEBSITES OF ORGANISATION AND PS ACADEMY NOTES
• Lots of Internet for Rest part and PS academy notes
• Acts are to be covered from Gazetted Act copy and PS Academy NOTES.
• Science  – NCERT 9 and 10 books and LUCENT ( Hindi or English )
• Reasoning and Data interpretation – R.S. Agrawal
• Technology – PS ACADEMY NOTES
• EMERGING TECHNOLOGIES  – VAJIRAM S&T BOOK and Magraw Hill book on S&T.
• Energy  – PS ACADEMY NOTES and Magraw Hill BOOK of S&T.
• Environment and sustainable development –  Book on the environment by ShankarIAS   and PS academy NOTES, Unacademy Videos.
• INDIAN ECONOMY –  Mrunal videos are the best source,
• Economic Survey (Important for Data)
• NCERT 11th & 12th Class Book.
• Ramesh Singh ( Hindi or  English ), Sanjeev Verma Book , Dutt And Sundaram Book
• Case Studies –  Mrunal articles  and  videos on ethics
• Lexicon for Ethics by Chronicle Publication.
• Ethics, Integrity and Aptitude By G. Subba Rao ( Hindi or English )
• Thinkers &  Philosophers  – PS Academy Notes And Internet
• Hardev Bahari Book For General Hindi
• Lucent Hindi for grammar and introduction to hindi
• PS Academy Book For Letters Writing
• NIBAND MANJUSHA (compulsory for English medium)
• PS ACADEMY BOOK.

Credit: Mrunal

We will soon update more such kinds of book lists on this post.  If you need further help regarding the MPPSC Mains exam, you can always drop a message on the Telegram channel.

Disclaimer:  While creating this paper/content, the MPPSC Club has kept complete vigilance. But even if you get a human error, tell it in the comments box along with facts. Our team will try to rectify it as soon as possible. If you have any problem with content, you can always contact us at [email protected].

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5 Comments on “MPPSC MAINS Booklist”

Add a feature to save pdf copy post. This is quite helpful post. thanks. cashadda.in nicereads.in

Your feedback taken. Will try to add this soon.

Hello sir,I am Sachin from Atra village. I required to take full information for mppsc sources and booklist in hindi medium.thanx so much sir……

All list is available in Hindi or English. Check Prelims Book LIst here : http://mppscclub.com/mppsc-prelims-booklist/

hello sir iam kuldeep, i want to say that plese include prelims.exam book list.. i request you please they have

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Charting a Path Through the Space Arms Control Verification Challenge

Download Paper

There are many challenges facing arms control in space, not the least of them being the rising tensions between the key parties needed to negotiate an impactful agreement. This paper provides a framework that could help ensure that verification challenges are not used as a convenient excuse for giving up on space arms control as an option. This study indicates that verification can be a surmountable obstacle thanks to developments in modern technologies, new stakeholders, and more robust information-sharing processes related to space.

Author: Mick Gleason

Download this paper at: https://csps.aerospace.org/papers/charting-path-through-space-arms-control-verification-challenge

Michael Gleason

How to cite ChatGPT

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We, the APA Style team, are not robots. We can all pass a CAPTCHA test , and we know our roles in a Turing test . And, like so many nonrobot human beings this year, we’ve spent a fair amount of time reading, learning, and thinking about issues related to large language models, artificial intelligence (AI), AI-generated text, and specifically ChatGPT . We’ve also been gathering opinions and feedback about the use and citation of ChatGPT. Thank you to everyone who has contributed and shared ideas, opinions, research, and feedback.

In this post, I discuss situations where students and researchers use ChatGPT to create text and to facilitate their research, not to write the full text of their paper or manuscript. We know instructors have differing opinions about how or even whether students should use ChatGPT, and we’ll be continuing to collect feedback about instructor and student questions. As always, defer to instructor guidelines when writing student papers. For more about guidelines and policies about student and author use of ChatGPT, see the last section of this post.

Quoting or reproducing the text created by ChatGPT in your paper

If you’ve used ChatGPT or other AI tools in your research, describe how you used the tool in your Method section or in a comparable section of your paper. For literature reviews or other types of essays or response or reaction papers, you might describe how you used the tool in your introduction. In your text, provide the prompt you used and then any portion of the relevant text that was generated in response.

Unfortunately, the results of a ChatGPT “chat” are not retrievable by other readers, and although nonretrievable data or quotations in APA Style papers are usually cited as personal communications , with ChatGPT-generated text there is no person communicating. Quoting ChatGPT’s text from a chat session is therefore more like sharing an algorithm’s output; thus, credit the author of the algorithm with a reference list entry and the corresponding in-text citation.

When prompted with “Is the left brain right brain divide real or a metaphor?” the ChatGPT-generated text indicated that although the two brain hemispheres are somewhat specialized, “the notation that people can be characterized as ‘left-brained’ or ‘right-brained’ is considered to be an oversimplification and a popular myth” (OpenAI, 2023).

OpenAI. (2023). ChatGPT (Mar 14 version) [Large language model]. https://chat.openai.com/chat

You may also put the full text of long responses from ChatGPT in an appendix of your paper or in online supplemental materials, so readers have access to the exact text that was generated. It is particularly important to document the exact text created because ChatGPT will generate a unique response in each chat session, even if given the same prompt. If you create appendices or supplemental materials, remember that each should be called out at least once in the body of your APA Style paper.

When given a follow-up prompt of “What is a more accurate representation?” the ChatGPT-generated text indicated that “different brain regions work together to support various cognitive processes” and “the functional specialization of different regions can change in response to experience and environmental factors” (OpenAI, 2023; see Appendix A for the full transcript).

Creating a reference to ChatGPT or other AI models and software

The in-text citations and references above are adapted from the reference template for software in Section 10.10 of the Publication Manual (American Psychological Association, 2020, Chapter 10). Although here we focus on ChatGPT, because these guidelines are based on the software template, they can be adapted to note the use of other large language models (e.g., Bard), algorithms, and similar software.

The reference and in-text citations for ChatGPT are formatted as follows:

• Parenthetical citation: (OpenAI, 2023)
• Narrative citation: OpenAI (2023)

Let’s break that reference down and look at the four elements (author, date, title, and source):

Author: The author of the model is OpenAI.

Date: The date is the year of the version you used. Following the template in Section 10.10, you need to include only the year, not the exact date. The version number provides the specific date information a reader might need.

Title: The name of the model is “ChatGPT,” so that serves as the title and is italicized in your reference, as shown in the template. Although OpenAI labels unique iterations (i.e., ChatGPT-3, ChatGPT-4), they are using “ChatGPT” as the general name of the model, with updates identified with version numbers.

The version number is included after the title in parentheses. The format for the version number in ChatGPT references includes the date because that is how OpenAI is labeling the versions. Different large language models or software might use different version numbering; use the version number in the format the author or publisher provides, which may be a numbering system (e.g., Version 2.0) or other methods.

Bracketed text is used in references for additional descriptions when they are needed to help a reader understand what’s being cited. References for a number of common sources, such as journal articles and books, do not include bracketed descriptions, but things outside of the typical peer-reviewed system often do. In the case of a reference for ChatGPT, provide the descriptor “Large language model” in square brackets. OpenAI describes ChatGPT-4 as a “large multimodal model,” so that description may be provided instead if you are using ChatGPT-4. Later versions and software or models from other companies may need different descriptions, based on how the publishers describe the model. The goal of the bracketed text is to briefly describe the kind of model to your reader.

Source: When the publisher name and the author name are the same, do not repeat the publisher name in the source element of the reference, and move directly to the URL. This is the case for ChatGPT. The URL for ChatGPT is https://chat.openai.com/chat . For other models or products for which you may create a reference, use the URL that links as directly as possible to the source (i.e., the page where you can access the model, not the publisher’s homepage).

Other questions about citing ChatGPT

You may have noticed the confidence with which ChatGPT described the ideas of brain lateralization and how the brain operates, without citing any sources. I asked for a list of sources to support those claims and ChatGPT provided five references—four of which I was able to find online. The fifth does not seem to be a real article; the digital object identifier given for that reference belongs to a different article, and I was not able to find any article with the authors, date, title, and source details that ChatGPT provided. Authors using ChatGPT or similar AI tools for research should consider making this scrutiny of the primary sources a standard process. If the sources are real, accurate, and relevant, it may be better to read those original sources to learn from that research and paraphrase or quote from those articles, as applicable, than to use the model’s interpretation of them.

We’ve also received a number of other questions about ChatGPT. Should students be allowed to use it? What guidelines should instructors create for students using AI? Does using AI-generated text constitute plagiarism? Should authors who use ChatGPT credit ChatGPT or OpenAI in their byline? What are the copyright implications ?

On these questions, researchers, editors, instructors, and others are actively debating and creating parameters and guidelines. Many of you have sent us feedback, and we encourage you to continue to do so in the comments below. We will also study the policies and procedures being established by instructors, publishers, and academic institutions, with a goal of creating guidelines that reflect the many real-world applications of AI-generated text.

For questions about manuscript byline credit, plagiarism, and related ChatGPT and AI topics, the APA Style team is seeking the recommendations of APA Journals editors. APA Style guidelines based on those recommendations will be posted on this blog and on the APA Style site later this year.

Update: APA Journals has published policies on the use of generative AI in scholarly materials .

We, the APA Style team humans, appreciate your patience as we navigate these unique challenges and new ways of thinking about how authors, researchers, and students learn, write, and work with new technologies.

American Psychological Association. (2020). Publication manual of the American Psychological Association (7th ed.). https://doi.org/10.1037/0000165-000

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Announcing the NeurIPS 2023 Paper Awards 

Communications Chairs 2023 2023 Conference awards , neurips2023

By Amir Globerson, Kate Saenko, Moritz Hardt, Sergey Levine and Comms Chair, Sahra Ghalebikesabi 

We are honored to announce the award-winning papers for NeurIPS 2023! This year’s prestigious awards consist of the Test of Time Award plus two Outstanding Paper Awards in each of these three categories: 

• Two Outstanding Main Track Papers 
• Two Outstanding Main Track Runner-Ups 
• Two Outstanding Datasets and Benchmark Track Papers  

This year’s organizers received a record number of paper submissions. Of the 13,300 submitted papers that were reviewed by 968 Area Chairs, 98 senior area chairs, and 396 Ethics reviewers 3,540  were accepted after 502 papers were flagged for ethics reviews . 

We thank the awards committee for the main track: Yoav Artzi, Chelsea Finn, Ludwig Schmidt, Ricardo Silva, Isabel Valera, and Mengdi Wang. For the Datasets and Benchmarks track, we thank Sergio Escalera, Isabelle Guyon, Neil Lawrence, Dina Machuve, Olga Russakovsky, Hugo Jair Escalante, Deepti Ghadiyaram, and Serena Yeung. Conflicts of interest were taken into account in the decision process.

Congratulations to all the authors! See Posters Sessions Tue-Thur in Great Hall & B1-B2 (level 1).

Outstanding Main Track Papers

Privacy Auditing with One (1) Training Run Authors: Thomas Steinke · Milad Nasr · Matthew Jagielski

Poster session 2: Tue 12 Dec 5:15 p.m. — 7:15 p.m. CST, #1523

Oral: Tue 12 Dec 3:40 p.m. — 4:40 p.m. CST, Room R06-R09 (level 2)

Abstract: We propose a scheme for auditing differentially private machine learning systems with a single training run. This exploits the parallelism of being able to add or remove multiple training examples independently. We analyze this using the connection between differential privacy and statistical generalization, which avoids the cost of group privacy. Our auditing scheme requires minimal assumptions about the algorithm and can be applied in the black-box or white-box setting. We demonstrate the effectiveness of our framework by applying it to DP-SGD, where we can achieve meaningful empirical privacy lower bounds by training only one model. In contrast, standard methods would require training hundreds of models.

Are Emergent Abilities of Large Language Models a Mirage? Authors: Rylan Schaeffer · Brando Miranda · Sanmi Koyejo

Poster session 6: Thu 14 Dec 5:00 p.m. — 7:00 p.m. CST, #1108

Oral: Thu 14 Dec 3:20 p.m. — 3:35 p.m. CST, Hall C2 (level 1) 

Abstract: Recent work claims that large language models display emergent abilities, abilities not present in smaller-scale models that are present in larger-scale models. What makes emergent abilities intriguing is two-fold: their sharpness, transitioning seemingly instantaneously from not present to present, and their unpredictability , appearing at seemingly unforeseeable model scales. Here, we present an alternative explanation for emergent abilities: that for a particular task and model family, when analyzing fixed model outputs, emergent abilities appear due to the researcher’s choice of metric rather than due to fundamental changes in model behavior with scale. Specifically, nonlinear or discontinuous metrics produce apparent emergent abilities, whereas linear or continuous metrics produce smooth, continuous, predictable changes in model performance. We present our alternative explanation in a simple mathematical model, then test it in three complementary ways: we (1) make, test and confirm three predictions on the effect of metric choice using the InstructGPT/GPT-3 family on tasks with claimed emergent abilities, (2) make, test and confirm two predictions about metric choices in a meta-analysis of emergent abilities on BIG-Bench; and (3) show how to choose metrics to produce never-before-seen seemingly emergent abilities in multiple vision tasks across diverse deep networks. Via all three analyses, we provide evidence that alleged emergent abilities evaporate with different metrics or with better statistics, and may not be a fundamental property of scaling AI models.

Outstanding Main Track Runner-Ups

Scaling Data-Constrained Language Models Authors : Niklas Muennighoff · Alexander Rush · Boaz Barak · Teven Le Scao · Nouamane Tazi · Aleksandra Piktus · Sampo Pyysalo · Thomas Wolf · Colin Raffel

Poster session 2: Tue 12 Dec 5:15 p.m. — 7:15 p.m. CST, #813

Oral: Tue 12 Dec 3:40 p.m. — 4:40 p.m. CST, Hall C2 (level 1)  

Abstract : The current trend of scaling language models involves increasing both parameter count and training dataset size. Extrapolating this trend suggests that training dataset size may soon be limited by the amount of text data available on the internet. Motivated by this limit, we investigate scaling language models in data-constrained regimes. Specifically, we run a large set of experiments varying the extent of data repetition and compute budget, ranging up to 900 billion training tokens and 9 billion parameter models. We find that with constrained data for a fixed compute budget, training with up to 4 epochs of repeated data yields negligible changes to loss compared to having unique data. However, with more repetition, the value of adding compute eventually decays to zero. We propose and empirically validate a scaling law for compute optimality that accounts for the decreasing value of repeated tokens and excess parameters. Finally, we experiment with approaches mitigating data scarcity, including augmenting the training dataset with code data or removing commonly used filters. Models and datasets from our 400 training runs are freely available at https://github.com/huggingface/datablations .

Direct Preference Optimization: Your Language Model is Secretly a Reward Model Authors: Rafael Rafailov · Archit Sharma · Eric Mitchell · Christopher D Manning · Stefano Ermon · Chelsea Finn

Poster session 6: Thu 14 Dec 5:00 p.m. — 7:00 p.m. CST, #625

Oral: Thu 14 Dec 3:50 p.m. — 4:05 p.m. CST, Ballroom A-C (level 2)  

Abstract: While large-scale unsupervised language models (LMs) learn broad world knowledge and some reasoning skills, achieving precise control of their behavior is difficult due to the completely unsupervised nature of their training. Existing methods for gaining such steerability collect human labels of the relative quality of model generations and fine-tune the unsupervised LM to align with these preferences, often with reinforcement learning from human feedback (RLHF). However, RLHF is a complex and often unstable procedure, first fitting a reward model that reflects the human preferences, and then fine-tuning the large unsupervised LM using reinforcement learning to maximize this estimated reward without drifting too far from the original model. In this paper, we leverage a mapping between reward functions and optimal policies to show that this constrained reward maximization problem can be optimized exactly with a single stage of policy training, essentially solving a classification problem on the human preference data. The resulting algorithm, which we call Direct Preference Optimization (DPO), is stable, performant, and computationally lightweight, eliminating the need for fitting a reward model, sampling from the LM during fine-tuning, or performing significant hyperparameter tuning. Our experiments show that DPO can fine-tune LMs to align with human preferences as well as or better than existing methods. Notably, fine-tuning with DPO exceeds RLHF’s ability to control sentiment of generations and improves response quality in summarization and single-turn dialogue while being substantially simpler to implement and train.

Outstanding Datasets and Benchmarks Papers

In the dataset category : 

ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation

Authors:  Sungduk Yu · Walter Hannah · Liran Peng · Jerry Lin · Mohamed Aziz Bhouri · Ritwik Gupta · Björn Lütjens · Justus C. Will · Gunnar Behrens · Julius Busecke · Nora Loose · Charles Stern · Tom Beucler · Bryce Harrop · Benjamin Hillman · Andrea Jenney · Savannah L. Ferretti · Nana Liu · Animashree Anandkumar · Noah Brenowitz · Veronika Eyring · Nicholas Geneva · Pierre Gentine · Stephan Mandt · Jaideep Pathak · Akshay Subramaniam · Carl Vondrick · Rose Yu · Laure Zanna · Tian Zheng · Ryan Abernathey · Fiaz Ahmed · David Bader · Pierre Baldi · Elizabeth Barnes · Christopher Bretherton · Peter Caldwell · Wayne Chuang · Yilun Han · YU HUANG · Fernando Iglesias-Suarez · Sanket Jantre · Karthik Kashinath · Marat Khairoutdinov · Thorsten Kurth · Nicholas Lutsko · Po-Lun Ma · Griffin Mooers · J. David Neelin · David Randall · Sara Shamekh · Mark Taylor · Nathan Urban · Janni Yuval · Guang Zhang · Mike Pritchard

Poster session 4: Wed 13 Dec 5:00 p.m. — 7:00 p.m. CST, #105 

Oral: Wed 13 Dec 3:45 p.m. — 4:00 p.m. CST, Ballroom A-C (level 2)

Abstract: Modern climate projections lack adequate spatial and temporal resolution due to computational constraints. A consequence is inaccurate and imprecise predictions of critical processes such as storms. Hybrid methods that combine physics with machine learning (ML) have introduced a new generation of higher fidelity climate simulators that can sidestep Moore’s Law by outsourcing compute-hungry, short, high-resolution simulations to ML emulators. However, this hybrid ML-physics simulation approach requires domain-specific treatment and has been inaccessible to ML experts because of lack of training data and relevant, easy-to-use workflows. We present ClimSim, the largest-ever dataset designed for hybrid ML-physics research. It comprises multi-scale climate simulations, developed by a consortium of climate scientists and ML researchers. It consists of 5.7 billion pairs of multivariate input and output vectors that isolate the influence of locally-nested, high-resolution, high-fidelity physics on a host climate simulator’s macro-scale physical state. The dataset is global in coverage, spans multiple years at high sampling frequency, and is designed such that resulting emulators are compatible with downstream coupling into operational climate simulators. We implement a range of deterministic and stochastic regression baselines to highlight the ML challenges and their scoring. The data (https://huggingface.co/datasets/LEAP/ClimSim_high-res) and code (https://leap-stc.github.io/ClimSim) are released openly to support the development of hybrid ML-physics and high-fidelity climate simulations for the benefit of science and society.   

In the benchmark category :

DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models

Authors: Boxin Wang · Weixin Chen · Hengzhi Pei · Chulin Xie · Mintong Kang · Chenhui Zhang · Chejian Xu · Zidi Xiong · Ritik Dutta · Rylan Schaeffer · Sang Truong · Simran Arora · Mantas Mazeika · Dan Hendrycks · Zinan Lin · Yu Cheng · Sanmi Koyejo · Dawn Song · Bo Li

Poster session 1: Tue 12 Dec 10:45 a.m. — 12:45 p.m. CST, #1618  

Oral: Tue 12 Dec 10:30 a.m. — 10:45 a.m. CST, Ballroom A-C (Level 2)

Abstract: Generative Pre-trained Transformer (GPT) models have exhibited exciting progress in capabilities, capturing the interest of practitioners and the public alike. Yet, while the literature on the trustworthiness of GPT models remains limited, practitioners have proposed employing capable GPT models for sensitive applications to healthcare and finance – where mistakes can be costly. To this end, this work proposes a comprehensive trustworthiness evaluation for large language models with a focus on GPT-4 and GPT-3.5, considering diverse perspectives – including toxicity, stereotype bias, adversarial robustness, out-of-distribution robustness, robustness on adversarial demonstrations, privacy, machine ethics, and fairness. Based on our evaluations, we discover previously unpublished vulnerabilities to trustworthiness threats. For instance, we find that GPT models can be easily misled to generate toxic and biased outputs and leak private information in both training data and conversation history. We also find that although GPT-4 is usually more trustworthy than GPT-3.5 on standard benchmarks, GPT-4 is more vulnerable given jailbreaking system or user prompts, potentially due to the reason that GPT-4 follows the (misleading) instructions more precisely. Our work illustrates a comprehensive trustworthiness evaluation of GPT models and sheds light on the trustworthiness gaps. Our benchmark is publicly available at https://decodingtrust.github.io/.

Test of Time

This year, following the usual practice, we chose a NeurIPS paper from 10 years ago to receive the Test of Time Award, and “ Distributed Representations of Words and Phrases and their Compositionality ” by Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, and Jeffrey Dean, won. 

Published at NeurIPS 2013 and cited over 40,000 times, the work introduced the seminal word embedding technique word2vec. Demonstrating the power of learning from large amounts of unstructured text, the work catalyzed progress that marked the beginning of a new era in natural language processing.

Greg Corrado and Jeffrey Dean will be giving a talk about this work and related research on Tuesday, 12 Dec at 3:05 – 3:25 pm CST in Hall F.  

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