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cs.CL 1

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2025 1

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When Thoughts Meet Facts: Reusable Reasoning for Long-Context LMs

cs.CL · 2025-10-08 · unverdicted · novelty 7.0

Thought templates derived from training traces and refined via natural-language feedback improve multi-hop reasoning performance in long-context LMs across benchmarks and can be distilled into smaller models.

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  • When Thoughts Meet Facts: Reusable Reasoning for Long-Context LMs cs.CL · 2025-10-08 · unverdicted · none · ref 27

    Thought templates derived from training traces and refined via natural-language feedback improve multi-hop reasoning performance in long-context LMs across benchmarks and can be distilled into smaller models.