Seungheon Doh

LLMs can serve as reliable judges for conversational recommendation systems, aligning moderately with human evaluations while outperforming traditional metrics.

Temporal alignment in video-to-music recommendations can boost retrieval performance by over 20%, revealing the critical role of sequence matching in multimodal tasks.