Fangxun Shu

According to our database, Fangxun Shu authored at least 17 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Fast-Slow Thinking for Large Vision-Language Model Reasoning.

Wenyi Xiao, Leilei Gan, Weilong Dai, Wanggui He, Ziwei Huang, Haoyuan Li, Fangxun Shu, Zhelun Yu, Peng Zhang, Hao Jiang, Fei Wu

CoRR, April, 2025

CMMCoT: Enhancing Complex Multi-Image Comprehension via Multi-Modal Chain-of-Thought and Memory Augmentation.

Guanghao Zhang, Tao Zhong, Yan Xia, Zhelun Yu, Haoyuan Li, Wanggui He, Fangxun Shu, Mushui Liu, Dong She, Yi Wang, Hao Jiang

CoRR, March, 2025

MINT: Multi-modal Chain of Thought in Unified Generative Models for Enhanced Image Generation.

Yi Wang, Mushui Liu, Wanggui He, Longxiang Zhang, Ziwei Huang, Guanghao Zhang, Fangxun Shu, Tao Zhong, Dong She, Zhelun Yu, Haoyuan Li, Weilong Dai, Mingli Song, Jie Song, Hao Jiang

CoRR, March, 2025

LLaVA-MoD: Making LLaVA Tiny via MoE-Knowledge Distillation.

Fangxun Shu, Yue Liao, Lei Zhang, Le Zhuo, Chenning Xu, Guanghao Zhang, Haonan Shi, Long Chan, Tao Zhong, Zhelun Yu, Wanggui He, Siming Fu, Haoyuan Li, Si Liu, Hongsheng Li, Hao Jiang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Autoregressive Pretraining with Mamba in Vision.

Sucheng Ren, Xianhang Li, Haoqin Tu, Feng Wang, Fangxun Shu, Lei Zhang, Jieru Mei, Linjie Yang, Peng Wang, Heng Wang, Alan L. Yuille, Cihang Xie

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Streaming Video Question-Answering with In-context Video KV-Cache Retrieval.

Shangzhe Di, Zhelun Yu, Guanghao Zhang, Haoyuan Li, Tao Zhong, Hao Cheng, Bolin Li, Wanggui He, Fangxun Shu, Hao Jiang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts.

Ziwei Huang, Wanggui He, Quanyu Long, Yandi Wang, Haoyuan Li, Zhelun Yu, Fangxun Shu, Weilong Dai, Hao Jiang, Fei Wu, Leilei Gan

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback.

Wenyi Xiao, Ziwei Huang, Leilei Gan, Wanggui He, Haoyuan Li, Zhelun Yu, Fangxun Shu, Hao Jiang, Linchao Zhu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

MARS: Mixture of Auto-Regressive Models for Fine-grained Text-to-image Synthesis.

Wanggui He, Siming Fu, Mushui Liu, Xierui Wang, Wenyi Xiao, Fangxun Shu, Yi Wang, Lei Zhang, Zhelun Yu, Haoyuan Li, Ziwei Huang, Leilei Gan, Hao Jiang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

MAC: Masked Contrastive Pre-Training for Efficient Video-Text Retrieval.

Fangxun Shu, Biaolong Chen, Yue Liao, Jinqiao Wang, Si Liu

IEEE Trans. Multim., 2024

T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts.

Ziwei Huang, Wanggui He, Quanyu Long, Yandi Wang, Haoyuan Li, Zhelun Yu, Fangxun Shu, Long Chan, Hao Jiang, Leilei Gan, Fei Wu

CoRR, 2024

SAG: Style-Aligned Article Generation via Model Collaboration.

Chenning Xu, Fangxun Shu, Dian Jin, Jinghao Wei, Hao Jiang

CoRR, 2024

LLaVA-MoD: Making LLaVA Tiny via MoE Knowledge Distillation.

Fangxun Shu, Yue Liao, Le Zhuo, Chenning Xu, Guanghao Zhang, Haonan Shi, Long Chen, Tao Zhong, Wanggui He, Siming Fu, Haoyuan Li, Bolin Li, Zhelun Yu, Si Liu, Hongsheng Li, Hao Jiang

CoRR, 2024

HyperLLaVA: Dynamic Visual and Language Expert Tuning for Multimodal Large Language Models.

Wenqiao Zhang, Tianwei Lin, Jiang Liu, Fangxun Shu, Haoyuan Li, Lei Zhang, Wanggui He, Hao Zhou, Zheqi Lv, Hao Jiang, Juncheng Li, Siliang Tang, Yueting Zhuang

CoRR, 2024

2023

Compress & Align: Curating Image-Text Data with Human Knowledge.

Lei Zhang, Fangxun Shu, Sucheng Ren, Bingchen Zhao, Hao Jiang, Cihang Xie

CoRR, 2023

Audio-Visual LLM for Video Understanding.

Fangxun Shu, Lei Zhang, Hao Jiang, Cihang Xie

CoRR, 2023

2022

Masked Contrastive Pre-Training for Efficient Video-Text Retrieval.

Fangxun Shu, Biaolong Chen, Yue Liao, Shuwen Xiao, Wenyu Sun, Xiaobo Li, Yousong Zhu, Jinqiao Wang, Si Liu

CoRR, 2022