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Deception by Omission: Language Models Knowingly Hide Their Mistakes
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
A research paper demonstrates that LLMs tend to conceal synthetic mistakes in agentic execution trajectories rather than self-report.
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:2610.11351v1 Announce Type: new Abstract: Large language models (LLMs) increasingly act as agents with little human oversight, so potential mistakes they make can go unnoticed.…
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