Haodong Duan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
28
Venues
9
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
28 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | OPT-BENCH: Evaluating the Iterative Self-Optimization of LLM Agents in Large-Scale Search Spaces. | Xiaozhe Li, Jixuan Chen, Xinyu Fang, Shengyuan Ding, Haodong Duan, Qingwen Liu, Kai Chen |
| 2026 | ACL | Forge: Quality-Aware Reinforcement Learning for NP-Hard Optimization in LLMs. | Xiaozhe Li, Xinyu Fang, Shengyuan Ding, Yang Li, Linyang Li, Haodong Duan, Qingwen Liu, Kai Chen |
| 2025 | ACL | Towards Storage-Efficient Visual Document Retrieval: An Empirical Study on Reducing Patch-Level Embeddings. | Yubo Ma, Jinsong Li, Yuhang Zang, Xiaobao Wu, Xiaoyi Dong, Pan Zhang, Yuhang Cao, Haodong Duan, Jiaqi Wang, Yixin Cao, Aixin Sun |
| 2025 | ACL | Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and Refinement. | Maosongcao, Taolin Zhang, Mo Li, Chuyu Zhang, Yunxin Liu, Conghui He, Haodong Duan, Songyang Zhang, Kai Chen |
| 2025 | ACL | InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model. | Yuhang Zang, Xiaoyi Dong, Pan Zhang, Yuhang Cao, Ziyu Liu, Shengyuan Ding, Shenxi Wu, Yubo Ma, Haodong Duan, Wenwei Zhang, Kai Chen, Dahua Lin, Jiaqi Wang |
| 2025 | ACL | Redundancy Principles for MLLMs Benchmarks. | Zicheng Zhang, Xiangyu Zhao, Xinyu Fang, Chunyi Li, Xiaohong Liu, Xiongkuo Min, Haodong Duan, Kai Chen, Guangtao Zhai |
| 2025 | ACL | OmniAlign-V: Towards Enhanced Alignment of MLLMs with Human Preference. | Xiangyu Zhao, Shengyuan Ding, Zicheng Zhang, Haian Huang, Maosongcao, Jiaqi Wang, Weiyun Wang, Xinyu Fang, Wenhai Wang, Guangtao Zhai, Hua Yang, Haodong Duan, Kai Chen |
| 2025 | CVPR | Image Quality Assessment: From Human to Machine Preference. | Chunyi Li, Yuan Tian, Xiaoyue Ling, Zicheng Zhang, Haodong Duan, Haoning Wu, Ziheng Jia, Xiaohong Liu, Xiongkuo Min, Guo Lu, Weisi Lin, Guangtao Zhai |
| 2025 | CVPR | OVO-Bench: How Far is Your Video-LLMs from Real-World Online Video Understanding? | Junbo Niu, Yifei Li, Ziyang Miao, Chunjiang Ge, Yuanhang Zhou, Qihao He, Xiaoyi Dong, Haodong Duan, Shuangrui Ding, Rui Qian, Pan Zhang, Yuhang Zang, Yuhang Cao, Conghui He, Jiaqi Wang |
| 2025 | ICCV | MM-IFEngine: Towards Multimodal Instruction Following. | Shengyuan Ding, Shenxi Wu, Xiangyu Zhao, Yuhang Zang, Haodong Duan, Xiaoyi Dong, Pan Zhang, Yuhang Cao, Dahua Lin, Jiaqi Wang |
| 2025 | ICCV | Creation-Mmbench: Assessing Context-Aware Creative Intelligence in Mllms. | Xinyu Fang, Zhijian Chen, Kai Lan, Lixin Ma, Shengyuan Ding, Yingji Liang, Xiangyu Zhao, Farong Wen, Zicheng Zhang, Guofeng Zhang, Haodong Duan, Kai Chen, Dahua Lin |
| 2025 | ICCV | Information Density Principle for MLLM Benchmarks. | Chunyi Li, Xiaozhe Li, Zicheng Zhang, Yuan Tian, Ziheng Jia, Xiaohong Liu, Xiongkuo Min, Jia Wang, Haodong Duan, Kai Chen, Guangtao Zhai |
| 2025 | ICCV | Visual-RFT: Visual Reinforcement Fine-Tuning. | Ziyu Liu, Zeyi Sun, Yuhang Zang, Xiaoyi Dong, Yuhang Cao, Haodong Duan, Dahua Lin, Jiaqi Wang |
| 2025 | ICLR | MIA-DPO: Multi-Image Augmented Direct Preference Optimization For Large Vision-Language Models. | Ziyu Liu, Yuhang Zang, Xiaoyi Dong, Pan Zhang, Yuhang Cao, Haodong Duan, Conghui He, Yuanjun Xiong, Dahua Lin, Jiaqi Wang |
| 2025 | ICML | VideoRoPE: What Makes for Good Video Rotary Position Embedding? | Xilin Wei, Xiaoran Liu, Yuhang Zang, Xiaoyi Dong, Pan Zhang, Yuhang Cao, Jian Tong, Haodong Duan, Qipeng Guo, Jiaqi Wang, Xipeng Qiu, Dahua Lin |
| 2024 | ACL | MathBench: Evaluating the Theory and Application Proficiency of LLMs with a Hierarchical Mathematics Benchmark. | Hongwei Liu, Zilong Zheng, Yuxuan Qiao, Haodong Duan, Zhiwei Fei, Fengzhe Zhou, Wenwei Zhang, Songyang Zhang, Dahua Lin, Kai Chen |
| 2024 | ECCV | MMBench: Is Your Multi-modal Model an All-Around Player? | Yuan Liu, Haodong Duan, Yuanhan Zhang, Bo Li, Songyang Zhang, Wangbo Zhao, Yike Yuan, Jiaqi Wang, Conghui He, Ziwei Liu, Kai Chen, Dahua Lin |
| 2024 | EMNLP | ProSA: Assessing and Understanding the Prompt Sensitivity of LLMs. | Jingming Zhuo, Songyang Zhang, Xinyu Fang, Haodong Duan, Dahua Lin, Kai Chen |
| 2024 | NAACL | BotChat: Evaluating LLMs' Capabilities of Having Multi-Turn Dialogues. | Haodong Duan, Jueqi Wei, Chonghua Wang, Hongwei Liu, Yixiao Fang, Songyang Zhang, Dahua Lin, Kai Chen |
| 2024 | NAACL | Ada-LEval: Evaluating long-context LLMs with length-adaptable benchmarks. | Chonghua Wang, Haodong Duan, Songyang Zhang, Dahua Lin, Kai Chen |
| 2023 | AAAI | Self-Supervised Action Representation Learning from Partial Spatio-Temporal Skeleton Sequences. | Yujie Zhou, Haodong Duan, Anyi Rao, Bing Su, Jiaqi Wang |
| 2023 | ICCV | SkeleTR: Towards Skeleton-based Action Recognition in the Wild. | Haodong Duan, Mingze Xu, Bing Shuai, Davide Modolo, Zhuowen Tu, Joseph Tighe, Alessandro Bergamo |
| 2022 | CVPR | Revisiting Skeleton-based Action Recognition. | Haodong Duan, Yue Zhao, Kai Chen, Dahua Lin, Bo Dai |
| 2022 | CVPR | TransRank: Self-supervised Video Representation Learning via Ranking-based Transformation Recognition. | Haodong Duan, Nanxuan Zhao, Kai Chen, Dahua Lin |
| 2022 | CVPR | OCSampler: Compressing Videos to One Clip with Single-step Sampling. | Jintao Lin, Haodong Duan, Kai Chen, Dahua Lin, Limin Wang |
| 2022 | ECCV | Mitigating Representation Bias in Action Recognition: Algorithms and Benchmarks. | Haodong Duan, Yue Zhao, Kai Chen, Yuanjun Xiong, Dahua Lin |
| 2020 | ECCV | Omni-Sourced Webly-Supervised Learning for Video Recognition. | Haodong Duan, Yue Zhao, Yuanjun Xiong, Wentao Liu, Dahua Lin |
| 2019 | ICCV | TRB: A Novel Triplet Representation for Understanding 2D Human Body. | Haodong Duan, Kwan-Yee Lin, Sheng Jin, Wentao Liu, Chen Qian, Wanli Ouyang |