AgentMonBench and Evidence Graphs Help Humans Oversee Long-Horizon Agents
RUC-GSAI-IIRLab · hf · 2026-10-09
As agents take on long-horizon tasks, users must oversee autonomous execution, but fragmented evidence makes it hard to identify decisions worth verifying. This work introduces AgentMonBench, a software-engineering benchmark covering requirement-behavior alignment and consequential-decision awareness, plus the training-free Evidence-Grounded Behavior Graph (EBG), which groups source-linked evidence into behaviors. Across eight models, EBG improves decision identification and evidence localization, with gains robust across input scales and hyperparameters.
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