ai-digest.dev
last updated 13 h ago
ResearcharXiv cs.AI 7 d ago137 · 13 cmts

MaxProof: Scaling Mathematical Proof with Generative-Verifier RL and Population-Level Test-Time Scaling

MaxProof introduces a population-level test-time scaling framework for mathematical proof generation, leveraging a generative-verifier architecture that integrates proof generation, verification, and critique-conditioned repair. The M3 model, designed for a low false-positive rate, achieves notable benchmark results of 35/42 on IMO 2025 and 36/42 on USAMO 2026, surpassing human gold-medal thresholds. This framework enhances the capabilities of LLMs in formal reasoning tasks, providing a competitive edge in mathematical proof competitions.

mathematical proofgenerative verifierRLM3relevance 0.00 · engagement 0.41
Read at source ↗HN discussion← all news
MaxProof: Scaling Mathematical Proof with Generative-Verifier RL and Population-Level Test-Time Scaling — AI News Digest