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Experiments on multi-agent LTLDiff manipulation tasks demonstrate improved task success rates compared to the baseline and demonstrate the effectiveness of LTLDiff for coordinated multi-agent manipulation.
Long-horizon web agents frequently fail without knowing where or why execution broke down. This issue is particularly pronounced in skill-based agentic web systems, where failures arise within composite skills whose internal decision processes are not directly traceable, making precise diagnosis and repair especially d...
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