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Deng, Haikang, Raffel, Colin , editor = · 2023 · DOI 10.18653/v1/2023.emnlp-main.721

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cs.LG 1

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2026 1

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UNVERDICTED 1

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Fork-Think with Confidence

cs.LG · 2026-06-30 · unverdicted · novelty 7.0

Fork-think with confidence identifies forking points via model confidence in a single path before sampling continuations, cutting tokens up to 30% and runtime up to 57% on reasoning benchmarks while matching or exceeding parallel thinking performance.

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  • Fork-Think with Confidence cs.LG · 2026-06-30 · unverdicted · none · ref 66

    Fork-think with confidence identifies forking points via model confidence in a single path before sampling continuations, cutting tokens up to 30% and runtime up to 57% on reasoning benchmarks while matching or exceeding parallel thinking performance.