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This paper introduces a unified benchmark and fine-grained annotation framework for long-horizon agent trajectory attribution, enabling evaluation of primary attribution localization and attribution-chain recovery across diverse settings. It provides over 1,300 annotated trajectories from existing agent benchmarks and releases a reusable annotation skill for standardizing future trajectories.
This paper introduces a hybrid framework for sentence-level emotion annotation of song lyrics that optimizes human and LLM collaboration by predicting misalignment, addressing subjectivity and scalability challenges in lyric emotion recognition.