RESEARCHMonitorWATCHLIST
Accurate but Not Humble: Evaluating Epistemic Humility in LLM Agents under Knowledge Conflict
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
Researchers propose evaluating epistemic humility in LLM agents to assess how they handle retrieved evidence conflicting with prior beliefs.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 9 October 2026
- Collected by OneBench
- 10 Oct 2026, 03:01 UK
Stored source excerpt
arXiv:2610.12360v1 Announce Type: cross Abstract: When retrieved evidence contradicts an agent's prior beliefs, does it revise its answer, acknowledge uncertainty, or persist with an incorrect…
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