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Reasoning Consensus: Structural Ensembling of LLM Reasoning via Weighted DAG Aggregation

Parulekar, Amruta et al.
arXiv (All) · Papers
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artificial-intelligencecomputation-and-languagemachine-learning
Large Language Models (LLMs) reason in free-form chain-of-thought (CoT) without revealing which steps were well supported and which alternatives were rejected. In high-stakes domains, users then cannot judge if an answer rests on sound reasoning. Majority voting and multi-agent debate improve answer
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