ReasonIF: Large Reasoning Models Fail to Follow Instructions During Reasoning (2026.findings-acl)
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| Challenge: | Prior studies assess instruction adherence in the model’s main responses, but it is also critical for large reasoning models to follow user instructions throughout their reasoning process. |
| Approach: | They propose a systematic benchmark for assessing reasoning instruction following to assess the model's adherence to instructions. |
| Outcome: | The proposed benchmark reduces the risk of undesirable shortcuts, hallucinations, or reward hacking within reasoning traces. |
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Zhexin Zhang, Xian Qi Loye, Victor Shea-Jay Huang, Junxiao Yang, Qi Zhu, Shiyao Cui, Fei Mi, Lifeng Shang, Yingkang Wang, Hongning Wang, Minlie Huang
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