Visual Jigsaw Post-Training Improves MLLMs
Penghao Wu · Yushan Zhang · Haiwen Diao · Bo Li · Lewei Lu · Ziwei Liu
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Penghao Wu · Yushan Zhang · Haiwen Diao · Bo Li · Lewei Lu · Ziwei Liu
Jinming Wu · Zihao Deng · Wei Li · Yiding Liu · Bo You · Bo Li · Zejun MA · Ziwei Liu
Robust deployment of large multimodal models (LMMs) in real-world scenarios requires access to external knowledge sources, given the complexity and dynamic nature of real-world information. Existing approaches such as retrieval-augmented generation (RAG) and prompt engineered search agents rely o...
Kairui Hu · Penghao Wu · Fanyi Pu · Wang Xiao · Xiang Yue · Bo Li · Yuanhan Zhang · Ziwei Liu
Humans acquire knowledge through three cognitive stages: perceiving information, comprehending knowledge, and adapting knowledge to solve novel problems. Videos serve as an effective medium for knowledge acquisition, facilitating a natural progression through these learning stages. However, exist...
Xinyu Huang · Yuhao Dong · Weiwei Tian · Bo Li · Rui Feng · Ziwei Liu
State-of-the-art large multi-modal models (LMMs) face challenges when processing high-resolution images, as these inputs are converted into enormous visual tokens, many of which are irrelevant to the downstream task. In this paper, we propose Multi-turn Grounding-based Policy Optimization (MGPO),...