Kryptovaluta-ticker:
technology fra Arxiv cs.ai

Agentic Chain-of-Thought Steering for Efficient and Controllable LLM Reasoning

Yu Xia, Zhouhang Xie, Xin Xu, Byungkyu Kang, Prarit Lamba, Xiang Gao, Julian McAuley
Jun 3, 2026 at 04:00
7 Visninger
0 Kommentarer

arXiv:2606.03965v1 Announce Type: cross Abstract: Large language models improve final-answer accuracy through extended chain-of-thought reasoning, but often spend tokens inefficiently and offer little inference-time control. Existing efficient reasoning methods control thinking length by shortening, early-stopping, or compressing traces, leaving...

Læs hele artiklen hos kilden.

Var dette nyttigt?
Del:

Kommentarer (0)

Vennligst logg inn for å skrive en kommentar

Ingen kommentarer ennå. Bli den første til å kommentere!