AI Achieves a Perfect LSAT Score

Documents a language model achieving a perfect score on the LSAT. Shows that removing internal reasoning reduces accuracy by up to 8 points, and introduces a QLoRA-trained process reward model that improves selection on logical reasoning.

arXiv Preprint