AI reviews for all 22,977 AAAI-26 papers were preferred by authors and PC members over human reviews on accuracy and suggestions and outperformed baselines at spotting weaknesses.
Usefulness of LLMs as an author checklist assistant for scientific papers: NeurIPS’24 experiment.arXiv preprint arXiv:2411.03417,
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
years
2026 3roles
background 1polarities
background 1representative citing papers
Preregistering LLM experiments to run on the first future eligible model blocks p-hacking transfer in roughly 73% of cases across 20 models and 11 configurations on two tasks with known ground truth.
CS conferences should require nonrepudiable experimental results via signed attestations that prevent authors from later altering or denying reported numbers.
citing papers explorer
-
AI-Assisted Peer Review at Scale: The AAAI-26 AI Review Pilot
AI reviews for all 22,977 AAAI-26 papers were preferred by authors and PC members over human reviews on accuracy and suggestions and outperformed baselines at spotting weaknesses.
-
Mitigating LLM-based p-Hacking by Preregistering for the Next LLM
Preregistering LLM experiments to run on the first future eligible model blocks p-hacking transfer in roughly 73% of cases across 20 models and 11 configurations on two tasks with known ground truth.
-
Computer Science Conferences Should Require Nonrepudiable Experimental Results
CS conferences should require nonrepudiable experimental results via signed attestations that prevent authors from later altering or denying reported numbers.