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cs.CV2026
HiMu: Hierarchical Multimodal Frame Selection for Long Video Question Answering
Dan Ben-Ami, Gabriele Serussi, Kobi Cohen +1
Long-form video question answering requires reasoning over extended temporal contexts, making frame selection a critical bottleneck for multi-modal large language models (MLLMs) bo…
cs.CV2026
PREGEN: Uncovering Latent Thoughts in Composed Video Retrieval
Gabriele Serussi, David Vainshtein, Jonathan Kouchly +2
Composed Video Retrieval (CoVR) aims to retrieve a video based on a query video and a modifying text. Current CoVR methods fail to fully exploit modern Vision-Language Models (VLMs…
cs.CV2025
HERBench: A Benchmark for Multi-Evidence Integration in Video Question Answering
Dan Ben-Ami, Gabriele Serussi, Kobi Cohen +1
Video Large Language Models (Video-LLMs) are improving rapidly, yet current Video Question Answering (VideoQA) benchmarks often admit single-cue shortcuts, under-testing reasoning…