ICLR

The ICLR dataset contains submissions to the International Conference on Learning Representations and is used to evaluate the effectiveness of large language models in predicting the acceptance or rejection of manuscripts based on their quality scores.

Papers using ICLR (3)

Intelligence Is Not the Bottleneck: Validating an LLM First-Pass Manuscript Score Against Peer-Review Outcomes2026PRAIB: Peer Review AI Benchmark of Behaviour of LLM-Assisted Reviewing2026LLM-as-a-Reviewer: Benchmarking Their Ability, Divergence, and Prompt Injection Resistance as Paper Reviewers2026