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20242026
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cs.CV2026

EndoCoT: Scaling Endogenous Chain-of-Thought Reasoning in Diffusion Models

Xuanlang Dai, Yujie Zhou, Long Xing +6

Recently, Multimodal Large Language Models (MLLMs) have been widely integrated into diffusion frameworks primarily as text encoders to tackle complex tasks such as spatial reasonin…

cs.CV2026

Beyond the Current Observation: Evaluating Multimodal Large Language Models in Controllable Non-Markov Games

Shengyuan Ding, Xilin Wei, Xinyu Fang +4

Deploying multimodal foundation models as closed-loop policies increasingly requires conditioning actions on observations that are no longer visible. However, existing benchmarks e…

cs.CV2025

VideoRoPE: What Makes for Good Video Rotary Position Embedding?

Xilin Wei, Xiaoran Liu, Yuhang Zang +9

While Rotary Position Embedding (RoPE) and its variants are widely adopted for their long-context capabilities, the extension of the 1D RoPE to video, with its complex spatio-tempo…

cs.CV2024

InternLM-XComposer2.5-OmniLive: A Comprehensive Multimodal System for Long-term Streaming Video and Audio Interactions

Pan Zhang, Xiaoyi Dong, Yuhang Cao +26

Creating AI systems that can interact with environments over long periods, similar to human cognition, has been a longstanding research goal. Recent advancements in multimodal larg…

cs.CV2024

MMDU: A Multi-Turn Multi-Image Dialog Understanding Benchmark and Instruction-Tuning Dataset for LVLMs

Ziyu Liu, Tao Chu, Yuhang Zang +8

Generating natural and meaningful responses to communicate with multi-modal human inputs is a fundamental capability of Large Vision-Language Models(LVLMs). While current open-sour…