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DynSTEER: Dynamic Stage-wise Trajectory Evaluation and Execution-time Review for Agents

Shi, Zhichao et al.
arXiv (OAI Expanded) · Papers
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artificial-intelligence
Large language model agents are increasingly deployed for long-horizon task execution, raising a central granularity question for trajectory evaluation: whole-trajectory verification is too coarse to capture concrete failures and their associated evidence in long trajectories, while atomic-step scor
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