团队共有七篇关于扩散模型、基础模型和大语言模型的论文被 ICLR 2025 接收。多位团队成员参加了会议，并在现场海报交流研究进展。

论文

• How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension
  Xinnan Dai, Haohao Qu, Yifei Shen, Bohang Zhang, Qihao Wen, Wenqi Fan, Dongsheng Li, Jiliang Tang, Caihua Shan.
  The Thirteenth International Conference on Learning Representations (ICLR). 2025
• SharedContextBench: How Lossy are Long-context Methods in KV Cache Reuse
  Yucheng Li, Huiqiang Jiang, Qianhui Wu, Xufang Luo, Surin Ahn, Chengruidong Zhang, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu.
  The Thirteenth International Conference on Learning Representations (ICLR). 2025
• SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents
  Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Xufang Luo, Hao Cheng, Dongsheng Li, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Jianfeng Gao.
  The Thirteenth International Conference on Learning Representations (ICLR). 2025
• NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals
  Weibang Jiang, Yansen Wang, Bao-liang Lu, Dongsheng Li.
  The Thirteenth International Conference on Learning Representations (ICLR). 2025
• pMoE: Prompting Diverse Experts Together Wins More in Visual Adaptation
  Shentong Mo, Xufang Luo, Dongsheng Li.
  The Thirteenth International Conference on Learning Representations (ICLR). 2025
• What Makes a Good Diffusion Planner for Decision Making?
  Haofei Lu, Dongqi Han, Yifei Shen, Dongsheng Li.
  The Thirteenth International Conference on Learning Representations (ICLR). 2025 (Spotlight)
• DreamDistribution: Prompt Distribution Learning for Text-to-Image Diffusion Models
  Brian Nlong Zhao, Yuhang Xiao, Jiashu Xu, Xinyang Jiang, Yifan Yang, Dongsheng Li, Laurent Itti, Vibhav Vineet, Yunhao Ge.
  The Thirteenth International Conference on Learning Representations (ICLR). 2025