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cs.CV2025

Xiaomi MiMo-VL-Miloco Technical Report

Jiaze Li, Jingyang Chen, Yuxun Qu +9

We open-source MiMo-VL-Miloco-7B and its quantized variant MiMo-VL-Miloco-7B-GGUF, a pair of home-centric vision-language models that achieve strong performance on both home-scenar…

cs.CV2025

TimeViper: A Hybrid Mamba-Transformer Vision-Language Model for Efficient Long Video Understanding

Boshen Xu, Zihan Xiao, Jiaze Li +4

We introduce TimeViper, a hybrid vision-language model designed to tackle challenges of long video understanding. Processing long videos demands both an efficient model architectur…

cs.CV2025

REVISOR: Beyond Textual Reflection, Towards Multimodal Introspective Reasoning in Long-Form Video Understanding

Jiaze Li, Hao Yin, Wenhui Tan +7

Self-reflection mechanisms that rely on purely text-based rethinking processes perform well in most multimodal tasks. However, when directly applied to long-form video understandin…

cs.LG2025

Shuffle-R1: Efficient RL framework for Multimodal Large Language Models via Data-centric Dynamic Shuffle

Linghao Zhu, Yiran Guan, Dingkang Liang +6

Reinforcement learning (RL) has emerged as an effective post-training paradigm for enhancing the reasoning capabilities of multimodal large language model (MLLM). However, current…

cs.CV2025

Q-Frame: Query-aware Frame Selection and Multi-Resolution Adaptation for Video-LLMs

Shaojie Zhang, Jiahui Yang, Jianqin Yin +2

Multimodal Large Language Models (MLLMs) have demonstrated significant success in visual understanding tasks. However, challenges persist in adapting these models for video compreh…

cs.CL2025

Think Silently, Think Fast: Dynamic Latent Compression of LLM Reasoning Chains

Wenhui Tan, Jiaze Li, Jianzhong Ju +3

Large Language Models (LLMs) achieve superior performance through Chain-of-Thought (CoT) reasoning, but these token-level reasoning chains are computationally expensive and ineffic…

cs.CV2025

Direction-Aware Diagonal Autoregressive Image Generation

Yijia Xu, Jianzhong Ju, Jian Luan +1

The raster-ordered image token sequence exhibits a significant Euclidean distance between index-adjacent tokens at line breaks, making it unsuitable for autoregressive generation.…