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cs.AI2026
Behaviour analysis for large language model-driven agents
Tianqiang Yan, Lizhen Qu
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 gener…
cs.AI2026
Trajectory Abstraction for the Science of Language Agent Behavior
Tianqiang Yan
Scientific studies of language agents need behavioral variables that support hypotheses across tasks and models. We formulate this research problem as learning and testing a hierar…