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Исследования2026年10月26日
Behaviour analysis for large language model-driven agents
arXiv:2610.32087v1 Announce Type: new Abstract: Understanding language-agent behaviour requires learning how actions are organised across a trajectory and how this organisation relates to context and outcomes. We propose a general framework that connects data-driven behavioural…
Tianqiang Yan, Lizhen Qu·arXiv — cs.AI
Original SourceKey Takeaways
- 01.arXiv:2610.32087v1 Announce Type: new Abstract: Understanding language-agent behaviour requires learning how actions are organised across a trajectory and how this organisation relates to context and outcomes
- 02.We propose a general framework that connects data-driven behavioural…
This material is provided as an extended analytical summary.
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