Yida Yin

I am a fourth year undergraduate at UC Berkeley, majoring in Computer Science and Applied Mathematics. I go by David.

I am currently working with Dr. Roei Herzig and Professor Trevor Darrell at the Berkeley Artificial Intelligence Research (BAIR) on vision robotics. I am also doing research with Professor Zhuang Liu at Princeton University on computer vision. I have previously worked with Dr. Zhuo Xu and Professor Jiachen Li on autonomous driving.

Publications (* equal contribution)

	Idiosyncrasies in Large Language Models Mingjie Sun, Yida Yin, Zhiqiu Xu, J. Zico Kolter, Zhuang Liu arxiv 2025 [paper] [code]
	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]
	A Coefficient Makes SVRG Effective Yida Yin, Zhiqiu Xu, Zhiyuan Li, Trevor Darrell, Zhuang Liu ICLR 2025 [paper] [code]
	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]
	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]

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