RESEARCHMonitorWATCHLIST
Words or Deeds? How LLMs Predict Users' Decisions in Human-Agent Dialogue
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
Researchers evaluate LLM ability to predict user non-compliance by comparing verbal promises against decision records in human-agent chats.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 28 October 2026
- Collected by OneBench
- 29 Oct 2026, 02:01 UK
Stored source excerpt
arXiv:2610.36813v1 Announce Type: new Abstract: Web systems increasingly predict users' decisions from what users say, yet when interests partly conflict, users may promise to cooperate…
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