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LLM-as-an-Improver: Turning Verification into Better Candidates

Tomihari, Akiyoshi et al.
arXiv (All) · Papers
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Verifier-based selection improves LLM performance by generating multiple candidate solutions and using a verifier to select the most promising one. However, existing methods typically treat verification only as a ranking step and discard its feedback once a fixed candidate pool has been evaluated. I
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