Publications (* equal contribution, † equal advising)

	UEval: A Benchmark for Unified Multimodal Generation Bo Li, Yida Yin, Wenhao Chai, Xingyu Fu†, Zhuang Liu†, arxiv 2026 [Paper] [Dataset] [Code] [Project Page]
	Generative Modeling of Weights: Generalization or Memorization? Boya Zeng, Yida Yin, Zhiqiu Xu, Zhuang Liu arxiv 2025 [Paper] [Code] [Project Page]
	Idiosyncrasies in Large Language Models Mingjie Sun*, Yida Yin*, Zhiqiu Xu, J. Zico Kolter, Zhuang Liu ICML 2025 [Paper] [Code] [Project Page] [Press]
	In-Context Learning Enables Robot Action Prediction in LLMs Yida Yin*, Zekai Wang*, Yuvan Sharma, Dantong Niu, Trevor Darrell, Roei Herzig ICRA 2025 [Paper] [Code] [Project Page]
	A Coefficient Makes SVRG Effective Yida Yin, Zhiqiu Xu, Zhiyuan Li, Trevor Darrell, Zhuang Liu ICLR 2025 [Paper] [Code] [Project Page]
	Neural Network Diffusion Kai Wang, Dongwen Tang, Boya Zeng, Yida Yin, Zhaopan Xu, Yukun Zhou, Zelin Zang, Trevor Darrell, Zhuang Liu†, Yang You† arxiv 2024 [Paper] [Code]
	Understanding Bias in Large-Scale Visual Datasets Boya Zeng*, Yida Yin*, Zhuang Liu NeurIPS 2024 [Paper] [Code] [Project Page]
	Initializing Models with Larger Ones Zhiqiu Xu, Yanjie Chen, Kirill Vishniakov, Yida Yin, Zhiqiang Shen, Trevor Darrell, Lingjie Liu, Zhuang Liu ICLR 2024 (Spotlight) [Paper] [Code]
	MATRIX: Multi-Agent Trajectory Generation with Diverse Contexts Zhuo Xu*, Rui Zhou*, Yida Yin*, Huidong Gao, Masayoshi Tomizuka, Jiachen Li ICRA 2024 [Paper]