Activation Control for Efficiently Eliciting Long Chain-of-thought Ability of Language Models

NeurIPSSpotlight2025

Authors
Zekai Zhao, Qi Liu, Kun Zhou, Zihan Liu, Yifei Shao, Zhiting Hu, Biwei Huang
Venue
NeurIPS 2025
Track
Spotlight

TL;DR

Despite the remarkable reasoning performance, eliciting the long chain-of-thought(CoT) ability in large language models(LLMs) typically requires costly reinforcement learning or supervised fine-tuning…

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Topics

reinforcement learning large language model chain-of-thought language model fine-tuning efficient reasoning control llm

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