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cs.CV2026
Virtual Encoders in Multimodal Transformers
Katsuya Ogata, Yuta Nakashima
Multimodal language models traditionally rely on dedicated perceptual encoders to construct task-usable representations. More integrated architectures have recently emerged, which…
cs.CV2026
MEDit-Bench: A Dataset for Evaluating Message-Driven Narrative Video Editing
Katsuya Ogata, Zongshang Pang, Mayu Otani +1
Video editing is fundamentally message-driven: even from the same source footage, the selected shots change depending on the narrative the editor wishes to convey. Benchmarks for a…
cs.AI2026
ANCHOR: An External LLM-Driven Supervisory Module Facilitating Healthy Evolution in Self-Evolving Systems
Dianxing Shi, Bowen Wang, Junqi He +2
Self-evolving agents improve through continual self-play and self-generated learning signals, but their internally generated tasks and verifier signals provide limited coverage of…