2 papers
cs.AI2026
Generalization or Memorization? Brittleness Testing for Chess-Trained Language Models
Ethan Tang
Recent work has fine-tuned language models on chess data and reported high benchmark scores as evidence that the resulting models can understand the rules of chess, play full chess…
cs.LG2026
PAWN: Piece Value Analysis with Neural Networks
Ethan Tang, Hasan Davulcu, Jia Zou +1
Predicting the relative value of any given chess piece in a position remains an open challenge, as a piece's contribution depends on its spatial relationships with every other piec…