RESEARCHMonitorWATCHLIST
Under the Influence: Evaluating and Improving LLM Vigilance in Agentic Tasks
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
Researchers introduced a benchmark to evaluate LLM agent vigilance against external influence and manipulation in open-world tasks.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 26 October 2026
- Collected by OneBench
- 27 Oct 2026, 02:01 UK
Stored source excerpt
arXiv:2602.21262v4 Announce Type: replace Abstract: Large Language Models (LLMs) are becoming increasingly autonomous assistants, capable of accomplishing series of complex tasks by interacting with open…
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