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Giving Credit Where It's Due: Redundancy-Aware Learning for Efficient Reasoning

arXiv:2609.27156v1 Announce Type: new Abstract: Large reasoning models can produce correct yet unnecessarily long reasoning traces. Existing methods improve reasoning efficiency with trajectory-level objectives or local token- and step-level signals, but rarely model inter-step semantic dependencie…

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  1. 2026-09-24 04:00 · arXiv cs.CL
    Giving Credit Where It's Due: Redundancy-Aware Learning for Efficient Reasoning

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