mlsanityData to 7 Oct 2026

Inconsistency in Conference Peer Review: Revisiting the 2014 NeurIPS Experiment

arXiv 2109.09774 ↗First posted 20 Sep 2021cs.DL cs.LGcited by 49

Not on the map. Why?

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.

Builds on

1 of 13 references.

References · 1

  1. 2015Calibration with confidence: A principled method for panel assessmentcited by 6

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 4; 2023: 7; 2024: 7; 2025: 12; 2026: 19.

49 papers.

Sort:

By area:

  1. 2023A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicitycited by 180
  2. 2024AgentReview: Exploring Peer Review Dynamics with LLM Agentscited by 92
  3. 2025Can LLM feedback enhance review quality? A randomized study of 20K reviews at ICLR 2025cited by 40
  4. 2025Position: The AI Conference Peer Review Crisis Demands Author Feedback and Reviewer Rewardscited by 34
  5. 2023Has the Machine Learning Review Process Become More Arbitrary as the Field Has Grown? The NeurIPS 2021 Consistency Experimentcited by 31
  6. 2025When AI Co-Scientists Fail: SPOT-a Benchmark for Automated Verification of Scientific Researchcited by 25
  7. 2022Investigating Fairness Disparities in Peer Review: A Language Model Enhanced Approachcited by 23
  8. 2025AI Scientists Fail Without Strong Implementation Capabilitycited by 20
  9. 2024An Examination on the Effectiveness of Divide-and-Conquer Prompting in Large Language Modelscited by 12
  10. 2025ReviewerToo: Should AI Join The Program Committee? A Look At The Future of Peer Reviewcited by 12
  11. 2026Stop Automating Peer Review Without Rigorous Evaluationcited by 12
  12. 2025Paper Copilot: Tracking the Evolution of Peer Review in AI Conferencescited by 10
37 more
  1. 2025Position: The ML Community Must Build an AI-Augmented Peer-Review Ecosystemcited by 8
  2. 2024The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Reviewcited by 7
  3. 2025Position: Machine Learning Conferences Should Establish a "Refutations and Critiques" Trackcited by 7
  4. 2026Can AI agents conduct open-ended AI research? Early evidence from two case studiescited by 7
  5. 2022How do Authors' Perceptions of their Papers Compare with Co-authors' Perceptions and Peer-review Decisions?cited by 5
  6. 2024On the Rigour of Scientific Writing: Criteria, Analysis, and Insightscited by 5
  7. 2022What Factors Should Paper-Reviewer Assignments Rely On? Community Perspectives on Issues and Ideals in Conference Peer-Reviewcited by 4
  8. 2024Learning the Bitter Lesson: Empirical Evidence from 20 Years of CVPR Proceedingscited by 4
  9. 2025NAIPv2: Debiased Pairwise Learning for Efficient Paper Quality Estimationcited by 4
  10. 2023Label Smarter, Not Harder: CleverLabel for Faster Annotation of Ambiguous Image Classification with Higher Qualitycited by 3
  11. 2025How to Find Fantastic AI Papers: Self-Rankings as a Powerful Predictor of Scientific Impact Beyond Peer Reviewcited by 3
  12. 2024Is Peer-Reviewing Worth the Effort?cited by 2
  13. 2024Fooling LLM graders into giving better grades through neural activity guided adversarial promptingcited by 2
  14. 2025Position: The Artificial Intelligence and Machine Learning Community Should Adopt a More Transparent and Regulated Peer Review Processcited by 2
  15. 2026What Makes a Good AI Review? Concern-Level Diagnostics for AI Peer Reviewcited by 2
  16. 2026E3: Issue-Level Backtesting for Automated Research Critiquecited by 2
  17. 2026Towards Automating Scientific Review with Google's Paper Assistant Toolcited by 2
  18. 2026Reviewer Scores Are Not Comparable Across Research Areas in ML Peer Reviewcited by 2
  19. 2022Strengthening Subcommunities: Towards Sustainable Growth in AI Researchcited by 1
  20. 2023Auto-survey Challengecited by 1
  21. 2025ReviewScore: Misinformed Peer Review Detection with Large Language Modelscited by 1
  22. 2026EchoReview: Learning Peer Review from the Echoes of Scientific Citationscited by 1
  23. 2026APRES: An Agentic Paper Revision and Evaluation Systemcited by 1
  24. 2026Review Arcade: On the Human Alignment and Gameability of LLM Reviewscited by 1
  25. 2026ReviewGuard: Aligning LLM-Assisted Peer Review with Long-Term Scientific Impactcited by 1
  26. 2023Evaluating the "Learning on Graphs" Conference Experiencecited by 0
  27. 2023CausalCite: A Causal Formulation of Paper Citationscited by 0
  28. 2023Eliciting Honest Information From Authors Using Sequential Reviewcited by 0
  29. 2026Recommending Best Paper Awards for ML/AI Conferences via the Isotonic Mechanismcited by 0
  30. 2026Reimagining Peer Review Process Through Multi-Agent Mechanism Designcited by 0
  31. 2026The IJCNN 2025 Review Processcited by 0
  32. 2026A Two-Phase Stability Study of LLM Judges and Bar Council Examiners on Thai Bar-Exam Free-Form Essayscited by 0
  33. 2026Playing with Words, Improving with Rewards: Training Language Models for Creative Associationcited by 0
  34. 2026Intelligence Is Not the Bottleneck: Validating an LLM First-Pass Manuscript Score Against Peer-Review Outcomescited by 0
  35. 2026Catalyst Papers in Artificial Intelligence Research: A Landscape on ICLR from 2017 to 2025cited by 0
  36. 2026Position: Want Better ML Reviews? Stop Asking Nicely and Start Incentivizing with a Credit Systemcited by 0
  37. 2026Do Reviewers Still Reward Lexical Complexity? A Frozen-Rater Study of Preference Drift in 124K ICLR Reviewscited by 0