Ziran Yang I am an incoming Ph.D. student at Electrical and Computer Engineering Department, Princeton University, advised by Prof. Chi Jin. I received a B.S. in Aritificial Intelligence from Yuanpei College, Peking University. During my undergraduate, I have been fortunate to work with Prof. Yaodong Yang at Peking University and Prof. Zhiting Hu at UCSD. Email  /  Google Scholar  /  Github

My research focuses on advancing foundation models beyond (semi-)supervised pretraining and imitation learning by integrating advanced algorithms from reinforcement learning and multi-agent systems, alongside principled insights from game theory and information theory, to better understand and control the behavior of complex AI systems, particularly large language and multimodal models. This includes exploring game equilibria in multi-agent settings, measuring and decomposing uncertainty, and analyzing how information flows in multimodal models to strengthen their reasoning skills and overall performance. Which is especially pertinent in the context of trustworthy AI, scalable oversight, reasoning, and LLM agents.

	Goedel-Prover-V2: The Strongest Open-Source Theorem Prover to Date Yong Lin*, Shange Tang*, Bohan Lyu*, Ziran Yang*, Jui-Hui Chung*, Haoyu Zhao*, Lai Jiang*, Yihan Geng*, Jiawei Ge, Jingruo Sun, Jiayun Wu, Jiri Gesi, David Acuna, Kaiyu Yang, Hongzhou Lin*, Yejin Choi, Danqi Chen, Sanjeev Arora, Chi Jin*, Paper
	Understanding the Sources of Uncertainty for Large Language and Multimodal Models Ziran Yang, Shibo Hao, Hao Sun, Lai Jiang, Qiyue Gao, Yian Ma, Zhiting Hu ICLR 2025 Workshop: Quantify Uncertainty and Hallucination in Foundation Models
	From Uncertainty to Trust: Enhancing Reliability in Vision-Language Models with Uncertainty-Guided Dropout Decoding Yixiong Fang*, Ziran Yang*, Zhaorun Chen, Zhuokai Zhao, Jiawei Zhou Under Review
	Evolving Diverse Red-team Language Models in Multi-round Multi-agent Games Chengdong Ma*, Ziran Yang*, Hai Ci, Jun Gao, Minquan Gao, Xuehai Pan, Yaodong Yang Under Review
	Panacea: Pareto Alignment via Preference Adaptation for LLMs Yifan Zhong*, Chengdong Ma*, Xiaoyuan Zhang*, Ziran Yang, Qingfu Zhang, Siyuan Qi, Yaodong Yang, NeurIPS 2024
	SafeSora: Towards Safety Alignment of Text2Video Generation via a Human Preference Dataset Josef Dai, Tianle Chen, Xuyao Wang, Ziran Yang, Taiye Chen, Jiaming Ji, Yaodong Yang, NeurIPS 2024 (DB Track)
	Offline Reinforcement Learning for LLM Multi-Step Reasoning Huaijie Wang, Shibo Hao, Hanze Dong, Shenao Zhang, Yilin Bao, Ziran Yang, Yi Wu ICLR 2025 Workshop: Reasoning and Planning for LLMs (Oral)

	ByteDance Seed 2025.05 - 2025.08 Research Intern Working on RL for Tool-using Agentic LLMs.
	UCSD Halicioglu Data Science Institute 2024.04 - 2024.11 Visiting Research Intern Advisor: Prof. Zhiting Hu
	PAIR Lab: PKU Alignment and Interaction Research Lab 2023.05 - Present Research Intern Advisor: Prof. Yaodong Yang

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