Papers with trustworthy reasoning models

1 papers
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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