2026
Reliable Fine-Grained Evaluation of Natural Language Math Proofs
ICLR 2026poster
Recent advances in large language models (LLMs) for mathematical reasoning have largely focused on tasks with easily verifiable final answers while generating and verifying natural language math proofs remains an open challenge. We identify the absence of a reliable, fine-grained evaluator for LLM-g…