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Baotian Hu

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Uni-MoE: Scaling Unified Multimodal LLMs with Mixture of Experts

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May 18, 2024
Yunxin Li, Shenyuan Jiang, Baotian Hu, Longyue Wang, Wanqi Zhong, Wenhan Luo, Lin Ma, Min Zhang

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VisionGraph: Leveraging Large Multimodal Models for Graph Theory Problems in Visual Context

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May 08, 2024
Yunxin Li, Baotian Hu, Haoyuan Shi, Wei Wang, Longyue Wang, Min Zhang

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In-Context Learning State Vector with Inner and Momentum Optimization

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Apr 17, 2024
Dongfang Li, Zhenyu Liu, Xinshuo Hu, Zetian Sun, Baotian Hu, Min Zhang

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Improving Attributed Text Generation of Large Language Models via Preference Learning

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Mar 27, 2024
Dongfang Li, Zetian Sun, Baotian Hu, Zhenyu Liu, Xinshuo Hu, Xuebo Liu, Min Zhang

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SelectIT: Selective Instruction Tuning for Large Language Models via Uncertainty-Aware Self-Reflection

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Feb 26, 2024
Liangxin Liu, Xuebo Liu, Derek F. Wong, Dongfang Li, Ziyi Wang, Baotian Hu, Min Zhang

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Does the Generator Mind its Contexts? An Analysis of Generative Model Faithfulness under Context Transfer

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Feb 22, 2024
Xinshuo Hu, Baotian Hu, Dongfang Li, Xiaoguang Li, Lifeng Shang

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Cognitive Visual-Language Mapper: Advancing Multimodal Comprehension with Enhanced Visual Knowledge Alignment

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Feb 21, 2024
Yunxin Li, Xinyu Chen, Baotian Hu, Haoyuan Shi, Min Zhang

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A Multimodal In-Context Tuning Approach for E-Commerce Product Description Generation

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Feb 21, 2024
Yunxin Li, Baotian Hu, Wenhan Luo, Lin Ma, Yuxin Ding, Min Zhang

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Towards Faithful Explanations for Text Classification with Robustness Improvement and Explanation Guided Training

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Dec 29, 2023
Dongfang Li, Baotian Hu, Qingcai Chen, Shan He

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Towards Vision Enhancing LLMs: Empowering Multimodal Knowledge Storage and Sharing in LLMs

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Nov 27, 2023
Yunxin Li, Baotian Hu, Wei Wang, Xiaochun Cao, Min Zhang

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