From Self-Check to Consensus: Bayesian Strategic Decoding in Large Language Models

Neural Information Processing Systems 

Large Language Models exhibit logical inconsistency across multi-turn inference processes, undermining correctness in complex inferential tasks. Challenges arise from ensuring that outputs align with both factual correctness and human intent.