Inconsistency in Conference Peer Review: Revisiting the 2014 NeurIPS Experiment
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Abstract (arXiv)
In this paper we revisit the 2014 NeurIPS experiment that examined inconsistency in conference peer review. We determine that 50% of the variation in reviewer quality scores was subjective in origin. Further, with seven years passing since the experiment we find that for accepted papers, there is no correlation between quality scores and impact of the paper as measured as a function of citation count. We trace the fate of rejected papers, recovering where these papers were eventually published. For these papers we find a correlation between quality scores and impact. We conclude that the reviewing process for the 2014 conference was good for identifying poor papers, but poor for identifying good papers. We give some suggestions for improving the reviewing process but also warn against removing the subjective element. Finally, we suggest that the real conclusion of the experiment is that the community should place less onus on the notion of `top-tier conference publications' when assessing the quality of individual researchers. For NeurIPS 2021, the PCs are repeating the experiment, as well as conducting new ones.
Key facts. Cited by 49 papers in the map (data through 7 Oct 2026). Builds on 1 of its 13 references that are in the map. First posted on arXiv 20 Sep 2021.
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Citing papers per year: 2022: 4; 2023: 7; 2024: 7; 2025: 12; 2026: 19.
49 papers.
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- 2023A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicitycited by 180
- 2024AgentReview: Exploring Peer Review Dynamics with LLM Agentscited by 92
- 2025Can LLM feedback enhance review quality? A randomized study of 20K reviews at ICLR 2025cited by 40
- 2025Position: The AI Conference Peer Review Crisis Demands Author Feedback and Reviewer Rewardscited by 34
- 2023Has the Machine Learning Review Process Become More Arbitrary as the Field Has Grown? The NeurIPS 2021 Consistency Experimentcited by 31
- 2025When AI Co-Scientists Fail: SPOT-a Benchmark for Automated Verification of Scientific Researchcited by 25
- 2022Investigating Fairness Disparities in Peer Review: A Language Model Enhanced Approachcited by 23
- 2025AI Scientists Fail Without Strong Implementation Capabilitycited by 20
- 2024An Examination on the Effectiveness of Divide-and-Conquer Prompting in Large Language Modelscited by 12
- 2025ReviewerToo: Should AI Join The Program Committee? A Look At The Future of Peer Reviewcited by 12
- 2026Stop Automating Peer Review Without Rigorous Evaluationcited by 12
- 2025Paper Copilot: Tracking the Evolution of Peer Review in AI Conferencescited by 10
37 more
- 2025Position: The ML Community Must Build an AI-Augmented Peer-Review Ecosystemcited by 8
- 2024The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Reviewcited by 7
- 2025Position: Machine Learning Conferences Should Establish a "Refutations and Critiques" Trackcited by 7
- 2026Can AI agents conduct open-ended AI research? Early evidence from two case studiescited by 7
- 2022How do Authors' Perceptions of their Papers Compare with Co-authors' Perceptions and Peer-review Decisions?cited by 5
- 2024On the Rigour of Scientific Writing: Criteria, Analysis, and Insightscited by 5
- 2022What Factors Should Paper-Reviewer Assignments Rely On? Community Perspectives on Issues and Ideals in Conference Peer-Reviewcited by 4
- 2024Learning the Bitter Lesson: Empirical Evidence from 20 Years of CVPR Proceedingscited by 4
- 2025NAIPv2: Debiased Pairwise Learning for Efficient Paper Quality Estimationcited by 4
- 2023Label Smarter, Not Harder: CleverLabel for Faster Annotation of Ambiguous Image Classification with Higher Qualitycited by 3
- 2025How to Find Fantastic AI Papers: Self-Rankings as a Powerful Predictor of Scientific Impact Beyond Peer Reviewcited by 3
- 2024Is Peer-Reviewing Worth the Effort?cited by 2
- 2024Fooling LLM graders into giving better grades through neural activity guided adversarial promptingcited by 2
- 2025Position: The Artificial Intelligence and Machine Learning Community Should Adopt a More Transparent and Regulated Peer Review Processcited by 2
- 2026What Makes a Good AI Review? Concern-Level Diagnostics for AI Peer Reviewcited by 2
- 2026E3: Issue-Level Backtesting for Automated Research Critiquecited by 2
- 2026Towards Automating Scientific Review with Google's Paper Assistant Toolcited by 2
- 2026Reviewer Scores Are Not Comparable Across Research Areas in ML Peer Reviewcited by 2
- 2022Strengthening Subcommunities: Towards Sustainable Growth in AI Researchcited by 1
- 2023Auto-survey Challengecited by 1
- 2025ReviewScore: Misinformed Peer Review Detection with Large Language Modelscited by 1
- 2026EchoReview: Learning Peer Review from the Echoes of Scientific Citationscited by 1
- 2026APRES: An Agentic Paper Revision and Evaluation Systemcited by 1
- 2026Review Arcade: On the Human Alignment and Gameability of LLM Reviewscited by 1
- 2026ReviewGuard: Aligning LLM-Assisted Peer Review with Long-Term Scientific Impactcited by 1
- 2023Evaluating the "Learning on Graphs" Conference Experiencecited by 0
- 2023CausalCite: A Causal Formulation of Paper Citationscited by 0
- 2023Eliciting Honest Information From Authors Using Sequential Reviewcited by 0
- 2026Recommending Best Paper Awards for ML/AI Conferences via the Isotonic Mechanismcited by 0
- 2026Reimagining Peer Review Process Through Multi-Agent Mechanism Designcited by 0
- 2026The IJCNN 2025 Review Processcited by 0
- 2026A Two-Phase Stability Study of LLM Judges and Bar Council Examiners on Thai Bar-Exam Free-Form Essayscited by 0
- 2026Playing with Words, Improving with Rewards: Training Language Models for Creative Associationcited by 0
- 2026Intelligence Is Not the Bottleneck: Validating an LLM First-Pass Manuscript Score Against Peer-Review Outcomescited by 0
- 2026Catalyst Papers in Artificial Intelligence Research: A Landscape on ICLR from 2017 to 2025cited by 0
- 2026Position: Want Better ML Reviews? Stop Asking Nicely and Start Incentivizing with a Credit Systemcited by 0
- 2026Do Reviewers Still Reward Lexical Complexity? A Frozen-Rater Study of Preference Drift in 124K ICLR Reviewscited by 0
- 2026Do Reviewers Still Reward Lexical Complexity? A Frozen-Rater Study of Preference Drift in 124K ICLR Reviews8 Sep 2026
- 2026Can AI agents conduct open-ended AI research? Early evidence from two case studies29 Jul 2026
- 2026Towards Automating Scientific Review with Google's Paper Assistant Tool26 Jun 2026
- 2026Intelligence Is Not the Bottleneck: Validating an LLM First-Pass Manuscript Score Against Peer-Review Outcomes14 Jun 2026
- 2026Position: Want Better ML Reviews? Stop Asking Nicely and Start Incentivizing with a Credit System5 Jun 2026
- 2026ReviewGuard: Aligning LLM-Assisted Peer Review with Long-Term Scientific Impact29 May 2026
- 2026Review Arcade: On the Human Alignment and Gameability of LLM Reviews27 May 2026
- 2026Playing with Words, Improving with Rewards: Training Language Models for Creative Association27 May 2026
- 2026E3: Issue-Level Backtesting for Automated Research Critique26 May 2026
- 2026A Two-Phase Stability Study of LLM Judges and Bar Council Examiners on Thai Bar-Exam Free-Form Essays25 May 2026
- 2026Catalyst Papers in Artificial Intelligence Research: A Landscape on ICLR from 2017 to 202524 May 2026
- 2026Stop Automating Peer Review Without Rigorous Evaluation4 May 2026
37 more
- 2026Reviewer Scores Are Not Comparable Across Research Areas in ML Peer Review30 Apr 2026
- 2026What Makes a Good AI Review? Concern-Level Diagnostics for AI Peer Review21 Apr 2026
- 2026APRES: An Agentic Paper Revision and Evaluation System3 Mar 2026
- 2026The IJCNN 2025 Review Process19 Feb 2026
- 2026EchoReview: Learning Peer Review from the Echoes of Scientific Citations31 Jan 2026
- 2026Reimagining Peer Review Process Through Multi-Agent Mechanism Design27 Jan 2026
- 2026Recommending Best Paper Awards for ML/AI Conferences via the Isotonic Mechanism21 Jan 2026
- 2025Paper Copilot: Tracking the Evolution of Peer Review in AI Conferences15 Oct 2025
- 2025ReviewerToo: Should AI Join The Program Committee? A Look At The Future of Peer Review9 Oct 2025
- 2025How to Find Fantastic AI Papers: Self-Rankings as a Powerful Predictor of Scientific Impact Beyond Peer Review2 Oct 2025
- 2025NAIPv2: Debiased Pairwise Learning for Efficient Paper Quality Estimation29 Sep 2025
- 2025ReviewScore: Misinformed Peer Review Detection with Large Language Models25 Sep 2025
- 2025Position: Machine Learning Conferences Should Establish a "Refutations and Critiques" Track24 Jun 2025
- 2025Position: The ML Community Must Build an AI-Augmented Peer-Review Ecosystem9 Jun 2025
- 2025AI Scientists Fail Without Strong Implementation Capability2 Jun 2025
- 2025When AI Co-Scientists Fail: SPOT-a Benchmark for Automated Verification of Scientific Research17 May 2025
- 2025Position: The AI Conference Peer Review Crisis Demands Author Feedback and Reviewer Rewards8 May 2025
- 2025Can LLM feedback enhance review quality? A randomized study of 20K reviews at ICLR 202513 Apr 2025
- 2025Position: The Artificial Intelligence and Machine Learning Community Should Adopt a More Transparent and Regulated Peer Review Process2 Feb 2025
- 2024Is Peer-Reviewing Worth the Effort?18 Dec 2024
- 2024Fooling LLM graders into giving better grades through neural activity guided adversarial prompting17 Dec 2024
- 2024Learning the Bitter Lesson: Empirical Evidence from 20 Years of CVPR Proceedings12 Oct 2024
- 2024On the Rigour of Scientific Writing: Criteria, Analysis, and Insights7 Oct 2024
- 2024The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review24 Aug 2024
- 2024AgentReview: Exploring Peer Review Dynamics with LLM Agents18 Jun 2024
- 2024An Examination on the Effectiveness of Divide-and-Conquer Prompting in Large Language Models8 Feb 2024
- 2023Eliciting Honest Information From Authors Using Sequential Review24 Nov 2023
- 2023CausalCite: A Causal Formulation of Paper Citations5 Nov 2023
- 2023Auto-survey Challenge6 Oct 2023
- 2023Has the Machine Learning Review Process Become More Arbitrary as the Field Has Grown? The NeurIPS 2021 Consistency Experiment5 Jun 2023
- 2023Evaluating the "Learning on Graphs" Conference Experience1 Jun 2023
- 2023A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity22 May 2023
- 2023Label Smarter, Not Harder: CleverLabel for Faster Annotation of Ambiguous Image Classification with Higher Quality22 May 2023
- 2022How do Authors' Perceptions of their Papers Compare with Co-authors' Perceptions and Peer-review Decisions?22 Nov 2022
- 2022Investigating Fairness Disparities in Peer Review: A Language Model Enhanced Approach7 Nov 2022
- 2022What Factors Should Paper-Reviewer Assignments Rely On? Community Perspectives on Issues and Ideals in Conference Peer-Review2 May 2022
- 2022Strengthening Subcommunities: Towards Sustainable Growth in AI Research18 Apr 2022
- 2024AgentReview: Exploring Peer Review Dynamics with LLM Agentscited by 92
- 2026APRES: An Agentic Paper Revision and Evaluation Systemcited by 1
- 2026APRES: An Agentic Paper Revision and Evaluation System3 Mar 2026
- 2024AgentReview: Exploring Peer Review Dynamics with LLM Agents18 Jun 2024
- 2023A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicitycited by 180
- 2025Can LLM feedback enhance review quality? A randomized study of 20K reviews at ICLR 2025cited by 40
- 2025Position: The AI Conference Peer Review Crisis Demands Author Feedback and Reviewer Rewardscited by 34
- 2023Has the Machine Learning Review Process Become More Arbitrary as the Field Has Grown? The NeurIPS 2021 Consistency Experimentcited by 31
- 2025When AI Co-Scientists Fail: SPOT-a Benchmark for Automated Verification of Scientific Researchcited by 25
- 2022Investigating Fairness Disparities in Peer Review: A Language Model Enhanced Approachcited by 23
- 2025AI Scientists Fail Without Strong Implementation Capabilitycited by 20
- 2024An Examination on the Effectiveness of Divide-and-Conquer Prompting in Large Language Modelscited by 12
- 2025ReviewerToo: Should AI Join The Program Committee? A Look At The Future of Peer Reviewcited by 12
- 2026Stop Automating Peer Review Without Rigorous Evaluationcited by 12
- 2025Paper Copilot: Tracking the Evolution of Peer Review in AI Conferencescited by 10
- 2025Position: The ML Community Must Build an AI-Augmented Peer-Review Ecosystemcited by 8
12 most cited of 44 All 44 (JSON)
- 2026Can AI agents conduct open-ended AI research? Early evidence from two case studies29 Jul 2026
- 2026Towards Automating Scientific Review with Google's Paper Assistant Tool26 Jun 2026
- 2026Intelligence Is Not the Bottleneck: Validating an LLM First-Pass Manuscript Score Against Peer-Review Outcomes14 Jun 2026
- 2026Position: Want Better ML Reviews? Stop Asking Nicely and Start Incentivizing with a Credit System5 Jun 2026
- 2026ReviewGuard: Aligning LLM-Assisted Peer Review with Long-Term Scientific Impact29 May 2026
- 2026Review Arcade: On the Human Alignment and Gameability of LLM Reviews27 May 2026
- 2026Playing with Words, Improving with Rewards: Training Language Models for Creative Association27 May 2026
- 2026E3: Issue-Level Backtesting for Automated Research Critique26 May 2026
- 2026A Two-Phase Stability Study of LLM Judges and Bar Council Examiners on Thai Bar-Exam Free-Form Essays25 May 2026
- 2026Stop Automating Peer Review Without Rigorous Evaluation4 May 2026
- 2026Reviewer Scores Are Not Comparable Across Research Areas in ML Peer Review30 Apr 2026
- 2026What Makes a Good AI Review? Concern-Level Diagnostics for AI Peer Review21 Apr 2026
12 newest of 44 All 44 (JSON)