Songyang Zhang

Young Researcher at Shanghai AI Laboratory, Shanghai, China.

zhangsongyang_1.jpeg

I am a Researcher of OpenMMLab, Shanghai AI Laboratory, supervised by Prof. Dahua Lin, collaborate with Dr. Kai Chen. I lead a team working on multi-modality model and large language model, includes the research and open-source platform. My team develops and maintains the OpenCompass, an evaluation platform for foundation model, and OpenMMLab projects MMPreTrain.

OpenCompass MMPreTrain

I obtained Ph.D. in Computer Science at the University of Chinese Academy of Science(UCAS), in the joint program at PLUS Lab, ShanghaiTech University in 2022. I got my B.Sc. degree in 2017 from Beihang University.

Open positions include full-time researchers/engineers and interns, feel free to contact me through the email. Research directions include: evaluation and application of large language model(tool use, reasoning, safety, robustness etc), multi-modality learning( vision/audio/-language learning), etc.

News

Mar 26, 2024 Technical report of InternLM2 has been released, welcome to InternLM2 for more details.
Mar 14, 2024 Three papers accepted by NAACL 2024, Fake Alignment, BotChat and AdaEval.
Feb 29, 2024 One paper on ‚ÄúSGG with Vision-langauge Model‚ÄĚ is accepted by CVPR 2024, congratulations to Rongjie.
Nov 10, 2023 One paper on ‚ÄúT-Eval‚ÄĚ is on Arxiv, welcome to T-Eval for more details.
Nov 10, 2023 One paper on ‚ÄúScene Graph Generation‚ÄĚ is accepted by T-PAMI, Congratulations to Rongjie, welcome to SGTR+ for more details.
Oct 30, 2023 One paper on ‚ÄúEvaluating LLMs‚Äô Multi-round Chatting Capability‚ÄĚ is on arxiv, welcome to BotChat for more details.
Sep 30, 2023 One paper on ‚ÄúBenchmarking Legal Knowledge of Large Language Models‚ÄĚ is on arxiv, welcome to LawBench for more details.
Jul 13, 2023 One paper on ‚ÄúSelf-supervised Learning‚ÄĚ is accepted by ICCV 2023, Congratulations to Yuan Liu.
Jul 12, 2023 One paper on ‚ÄúBenchmark for Multi-modality Learning‚ÄĚ is posted on arxiv, welcome to MMBench for more details.
Feb 28, 2023 One paper on ‚ÄúVision Backbone‚ÄĚ is accepted by CVPR 2023, Congratulations to Jiahao Wang.

Selected Publications(Full List)

  1. ArXiv
    InternLM2 Technical Report
    Zheng Cai, Maosong Cao, Haojiong Chen, Kai Chen, Keyu Chen, and 95 more authors
    2024
  2. ArXiv
    InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model
    Xiaoyi Dong, Pan Zhang, Yuhang Zang, Yuhang Cao, Bin Wang, and 18 more authors
    2024
  3. CVPR
    From Pixels to Graphs: Open-Vocabulary Scene Graph Generation with Vision-Language Models
    Rongjie Li, Songyang Zhang, Dahua Lin, Kai Chen, and Xuming He
    In Proceeding of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
  4. NAACL
    Fake Alignment: Are LLMs Really Aligned Well?
    Yixu Wang, Yan Teng, Kexin Huang, Chengqi Lyu, Songyang Zhang, and 3 more authors
    In Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2024
  5. T-PAMI
    SGTR+: End-to-end Scene Graph Generation with Transformer
    Rongjie Li, Songyang Zhang, and Xuming He
    In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
  6. NAACL
    BotChat: Evaluating LLMs’ Capabilities of Having Multi-Turn Dialogues
    Haodong Duan, Jueqi Wei, Chonghua Wang, Hongwei Liu, Yixiao Fang, and 3 more authors
    In Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2024
  7. ArXiv
    MMBench: Is Your Multi-modal Model an All-around Player?
    Yuan Liu, Haodong Duan, Yuanhan Zhang, Bo Li, Songyang Zhang, and 7 more authors
    In arXiv Preprint, 2023
  8. ICCV
    Improving Pixel-based MIM by Reducing Wasted Modeling Capability
    Yuan Liu, Songyang Zhang, Jiacheng Chen, Zhaohui Yu, Kai Chen, and 1 more author
    In Proceedings of the IEEE/CVF International Conference on Computer Vision(ICCV), 2023
  9. CVPR
    RIFormer: Keep Your Vision Backbone Effective But Removing Token Mixer
    Jiahao Wang, Songyang Zhang, Yong Liu, Taiqiang Wu, Yujiu Yang, and 4 more authors
    In Proceeding of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
  10. CVPR
    SGTR: End-to-end Scene Graph Generation with Transformer
    Rongjie Li, Songyang Zhang, and Xuming He
    In Proceeding of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
  11. NeurIPS
    Dynamic Grained Encoder for Vision Transformers
    Lin Song*, Songyang Zhang*, Songtao Liu, Zeming Li, Xuming He, and 3 more authors
    In Proceeding of Advances in Neural Information Processing Systems (NeurIPS), 2021
  12. CVPR
    Distribution Alignment: A Unified Framework for Long-tail Visual Recognition
    Songyang Zhang, Zeming Li, Shipeng Yan, Xuming He, and Jian Sun
    In Proceeding of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
  13. ICML
    LatentGNN: Learning Efficient Non-local Relations for Visual Recognition
    Songyang Zhang, Shipeng Yan, and Xuming He
    In Proceeding of the 36th International Conference on Machine Learning (ICML),, 2019