80%Must read
?Must readVote to see the score
Disentangling generalization and memorization in large language models using chess
Chess reveals LLMs' reasoning collapses without memorized priors, with newer models showing diminishing gains on novel positions.
Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026
– ReadersNo votes yet
12/20 AI panelreviewers recommend it
Readers and the AI panel: vote on this paper to see what they said.
Only vote on papers you've read. Sign in with GitHub to vote.
AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 1/5