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arxiv_cs_ai · Nov 5, 2026 · paper

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Signals, Evidence, and Context: User Scrutiny in Real-World LLM Conversations

arxiv.orgNov 5, 2026
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In brief

Large language models (LLMs) often present synthesized answers without making their supporting evidence easy to inspect. We study how features of these answers relate to users' subsequent accepting, checking, and challenging in 489,283 assistant-user response pairs from ShareChat

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Signals, Evidence, and Context: User Scrutiny in Real-World LLM Conversations

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