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News/Adopt $\neq$ Adapt: Longitudinal Analyses of LLM Conversations in the Wild
arxiv
PublishedMay 29, 2026 at 4:00 AM
—neutral

Adopt $\neq$ Adapt: Longitudinal Analyses of LLM Conversations in the Wild

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arxiv.orgfull article ↗
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Publisher summary· verbatim

arXiv:2605.29018v1 Announce Type: new Abstract: Although a growing body of research has begun to describe user--LLM interactions, the picture it paints is largely static; little is known about how individual users change their behavior over time. To address this gap, we analyze the conversational tr

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Discussion
Mentioned models
02
  • 01
    Microsoft Bing Copilot
  • 02
    WildChat-4.8M
Source
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arxiv
Read original ↗All from arxiv →
Tags
04
#user-behavior#llm#conversational-ai#dataset-analysis
Mentioned companies
01
Microsoft

No replies yet. Be first.

Mentioned models
02
  • 01
    Microsoft Bing Copilot
  • 02
    WildChat-4.8M
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#user-behavior#llm#conversational-ai#dataset-analysis
Mentioned companies
01
Microsoft

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