Publications

Generative AI

2024

  1. InfiBench: Evaluating the Question-Answering Capabilities of Code Large Language Models
    Linyi Li, Shijie Geng, Zhenwen Li, Yibo He, Hao Yu, Ziyue Hua, Guanghan Ning, Siwei Wang, Tao Xie, and Hongxia Yang
    NeurIPS, 2024
  2. DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation
    Yuang Ai, Xiaoqiang Zhou, Huaibo Huang, Xiaotian Han, Zhengyu Chen, Quanzeng You, and Hongxia Yang
    NeurIPS, 2024
  3. Visual Anchors Are Strong Information Aggregators For Multimodal Large Language Model
    Haogeng Liu, Quanzeng You, Xiaotian Han, Yongfei Liu, Huaibo Huang, Ran He, and Hongxia Yang
    NeurIPS, 2024
  4. COLM
    2024
    Empowering Large Language Model Agents through Action Learning
    Haiteng Zhao, Chang Ma, Guoyin Wang, Jing Su, Lingpeng Kong, Jingjing Xu, Zhi-Hong Deng, and Hongxia Yang
    COLM, 2024
  5. An Expert is Worth One Token: Synergizing Multiple Expert LLMs as Generalist via Expert Token Routing
    Ziwei Chai, Guoyin Wang, Jing Su, Tianjie Zhang, Xuanwen Huang, Xuwu Wang, Jingjing Xu, Jianbo Yuan, Hongxia Yang, Fei Wu, and Yang Yang
    ACL, 2024
  6. DeVAn: Dense Video Annotation for Video-Language Models
    Tingkai Liu, Yunzhe Tao, Haogeng Liu, Qihang Fang, Ding Zhou, Huaibo Huang, Ran He, and Hongxia Yang
    ACL, 2024
  7. Expedited Training of Visual Conditioned Language Generation via Redundancy Reduction
    Yiren Jian, Tingkai Liu, Yunzhe Tao, Chunhui Zhang, Soroush Vosoughi, and Hongxia Yang
    ACL, 2024
  8. InfiMM: Advancing Multimodal Understanding with an Open-Sourced Visual Language Model
    Haogeng Liu, Quanzeng You, Yiqi Wang, Xiaotian Han, Bohan Zhai, Yongfei Liu, Wentao Chen, Yiren Jian, Yunzhe Tao, Jianbo Yuan, Ran He, and Hongxia Yang
    ACL, 2024
  9. LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild
    Ziyu Zhao, Leilei Gan, Guoyin Wang, Wangchunshu Zhou, Hongxia Yang, Kun Kuang, and Fei Wu
    ACL, 2024
  10. Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation
    Zhenyu He, Guhao Feng, Shengjie Luo, Kai Yang, Liwei Wang, Jingjing Xu, Zhi Zhang, Hongxia Yang, and Di He
    ICML, 2024
  11. Self-Infilling Code Generation
    Lin Zheng, Jianbo Yuan, Zhi Zhang, Hongxia Yang, and Lingpeng Kong
    ICML, 2024
  12. InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks
    Xueyu Hu, Ziyu Zhao, Shuang Wei, Ziwei Chai, Qianli Ma, Guoyin Wang, Xuwu Wang, Jing Su, Jingjing Xu, Ming Zhu, Yao Cheng, Jianbo Yuan, Jiwei Li, Kun Kuang, Yang Yang, Hongxia Yang, and Fei Wu
    ICML, 2024
  13. β-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis
    Zishun Yu, Yunzhe Tao, Liyu Chen, Tao Sun, and Hongxia Yang
    ICLR, 2024
  14. LEMON: Lossless model expansion
    Yite Wang, Jiahao Su, Hanlin Lu, Cong Xie, Tianyi Liu, Jianbo Yuan, Haibin Lin, Ruoyu Sun, and Hongxia Yang
    ICLR, 2024
  15. Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling
    Huangjie Zheng, Zhendong Wang, Jianbo Yuan, Guanghan Ning, Pengcheng He, Quanzeng You, Hongxia Yang, and Mingyuan Zhou
    ICLR, 2024
  16. Let Models Speak Ciphers: Multiagent Debate through Embeddings
    Chau Pham, Boyi Liu, Yingxiang Yang, Zhengyu Chen, Tianyi Liu, Jianbo Yuan, Bryan A. Plummer, Zhaoran Wang, and Hongxia Yang
    ICLR, 2024