Improving LLM Interpretability with User-Centric Chain-of-Thought Reasoning
3.40T1 sourcearXiv cs.HC
arXiv cs.HCoriginal source ↗
Source record
Published by arXiv cs.HC (T1 source). The original is at https://arxiv.org/abs/2608.26166.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryResearch paper designing user-centric Chain-of-Thought reasoning that uses XML-like tags to structure reasoning traces into self-contained, verifiable steps. Evaluation on mathematical reasoning tasks shows equivalent performance to standard CoT while improving perceived usefulness and ease of use in user studies.
Why it mattersTests whether tagged, self-contained reasoning steps help users inspect and correct LLM outputs without losing accuracy on math tasks.
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