Inverse Reasoning Models for Efficient Post-Training and Verification from Answer-Only Data

Eric O. Korman

Post-training reasoning LLMs often requires making a tradeoff between costly supervision and compute inefficiency: supervised finetuning typically requires reasoning traces, which…