Beyond the Final Answer: Evaluating the Reasoning Trajectories of Tool-Augmented Agents 事件

Beyond the Final Answer: Evaluating the Reasoning Trajectories of Tool-Augmented Agents arXiv:2510.02837v3 Announce Type: replace-cross Abstract: Although recent tool-augmented benchmarks involve complex requests, evaluation remains limited to answer matching, neglecting critical trajectory aspects like efficiency, hallucination, and adaptivity. The most straightforward method for evaluation is to compare an agent's trajectory with the ground-truth, but annotating all valid ground-truth traject