Author

Hwanjun Song

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#artificial intelligence Jun 2026

Rethinking RAG in Long Videos: What to Retrieve and How to Use It?

This work introduces V-RAGBench, a benchmark of query, evidence chunk, answer$\rangle$ triplets over hour-scale videos, in which each answer depends on a unique evidence chunk, enabling decoupled evaluation of retrieval and generation, and CARVE, a training-free method that runs parallel retrievers across configuration...

Yu-Ho Lee, Ji-Su Shin, Nicole Hee-Yeon Kim et al. · arXiv.org · 1 citation

#artificial intelligence Preprint Sep 2026

PlaylistEval: Can Video-Language Judges Be Trusted at Day Scale and Beyond?

Video-language models are increasingly used as judges of video understanding, both for evaluating model outputs and for training reward models. Whether their judgments remain reliable when the evidence is buried in day-long videos has yet to be established. Existing benchmarks cannot answer this. Their videos are typic...

Shayekh Bin Islam, Hwanjun Song · 0 citations