On CoTemp QA, supervised fine-tuning with raw R1 traces gave the best model accuracy while human raters found those traces least interpretable, showing model-useful traces and human-readable traces can diverge.
Answer: [Yes] Justification: All LLM-usage related details have been clearly provided in the paper where necessary
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Do Cognitively Interpretable Reasoning Traces Improve LLM Performance?
On CoTemp QA, supervised fine-tuning with raw R1 traces gave the best model accuracy while human raters found those traces least interpretable, showing model-useful traces and human-readable traces can diverge.