When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs

NeurIPSSpotlight2025

Authors
Xiaomin Li, Zhou Yu, Zhiwei Zhang, Xupeng Chen, Ziji Zhang, Yingying Zhuang, Narayanan Sadagopan, Anurag Beniwal
Venue
NeurIPS 2025
Track
Spotlight

TL;DR

Reasoning-enhanced large language models (RLLMs), whether explicitly trained for reasoning or prompted via chain-of-thought (CoT), have achieved state-of-the-art performance on many complex reasoning…

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Topics

large language model chain-of-thought language model reasoning llm

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