Author

Ze-Yu Jin

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Preprint Oct 2026

CrossEdit: Cross-Modal Training Enables Rich Audio-Visual Editing

Multimedia editing requires generative models to interpret complex, compositional instructions and modify only the desired elements across modalities, a capability largely beyond existing systems. Current approaches are typically limited to simple, single-attribute edits within one modality, since diverse, high-quality...

William Chen, Prem Seetharaman, Ke Chen et al. · 0 citations

#artificial intelligence Preprint Sep 2026

ParA-LLM: A Unified Approach to Paralinguistic and Acoustic Speech Understanding

This work develops ParA-LLM, a framework of 22 paralinguistic characteristics that surpasses state-of-the-art Audio LLMs like GPT-4o-Audio by 7.5% on ParA-Bench and releases ParA-Bench, a benchmark of 6,000 multiple-choice questions across speaker-speech, acoustic, and mixed categories.

Nishit Anand, Jia-Qi Su, Ke Chen et al. · 1 citation