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Self-Speculation for Faster Reasoning Models

This story is from 2026-08-24. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2608.20359v1 Announce Type: new Abstract: Large language models (LLMs) are deployed for increasingly complex tasks involving planning and multi-step decision making, but high-quality performance on these tasks often requires generating long reasoning traces. This is a poor fit for latency-sen…

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  1. 2026-08-24 04:00 · arXiv cs.CL
    Self-Speculation for Faster Reasoning Models

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