Papers by Jaeyun Song
Jamendo-MT-QA: A Benchmark for Multi-Track Comparative Music Question Answering (2026.findings-acl)
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Junyoung Koh, Jaeyun Lee, Soo Yong Kim, Gyu Hyeong Choi, Jung In Koh, Jordan Phillips, Yeonjin Lee, Min Song
| Challenge: | Existing benchmarks for music question answering do not systematically evaluate reasoning across tracks. |
| Approach: | They propose a dataset and benchmark for multi-track comparative question answering . they construct 36,519 comparative QA items over 12,173 track pairs . |
| Outcome: | The proposed dataset and benchmark for multi-track comparative question answering is based on the Jamendo-QA dataset. |
Bringing Real-World Relations into Video Generation with Graph-Structured Knowledge (2026.acl-long)
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| Challenge: | Existing text-to-video models struggle to accurately simulate real-world physics and dynamic entity interactions. |
| Approach: | They propose a framework that integrates graph-structured temporal knowledge into video latent diffusion models to enhance compositional generation and interaction fidelity. |
| Outcome: | The proposed framework enhances compositional generation and interaction fidelity by integrating graph-structured temporal knowledge into video latent diffusion models. |