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cs.CV2026
SinkPruner: Sink-Free Visual Token Pruning for Multimodal Large Language Models
Shiyu Li, Zi-Yuan Hu, Shijia Huang +3
Despite their strong multimodal understanding ability, multimodal large language models (MLLMs) incur substantial computational overhead when processing long visual token sequences…
cs.CV2026
VideoLatent: Video-Language Learning via Latent Self-Forcing
Zi-Yuan Hu, Zicong Tang, Shijia Huang +3
Recent advancements in chain-of-thought (CoT) reasoning have shown promise in enhancing video understanding and reasoning capabilities of multimodal large language models (MLLMs).…