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AM-Bench: A Unified Taxonomy and Evaluation Suite for Agentic Misalignment

arXiv:2610.24264v1 Announce Type: new Abstract: As LLM-based agents are deployed with increasing autonomy in real-world environments, a critical failure mode emerges: agentic misalignment, where agents choose harmful actions over failure. However, existing safety benchmarks…

arXiv — cs.AIBy: Eric Zhang, Terry Jingchen Zhang, Chijioke Ugwuanyi, Jerick Shi, Bernhard Sch\"olkopf, Zhijing JinOctober 20, 2026 (18 hours ago)
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  • arXiv:2610.24264v1 Announce Type: new Abstract: As LLM-based agents are deployed with increasing autonomy in real-world environments, a critical failure mode emerges: agentic misalignment, where agents choose harmful actions over failure
  • However, existing safety benchmarks…
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AM-Bench: A Unified Taxonomy and Evaluation Suite for Agentic Misalignment

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