My name is Xiyang Wu. I am a Ph.D. student in Electrical and Computer Engineering at University of Maryland, College Park and a member of GAMMA group. My research advisor is Prof. Dinesh Manocha. I hold a Master’s degree from Georgia Institute of Technology, where I was working with Prof. Matthew Gombolay. Before that, I earned my Bachelor’s in Engineering from Tianjin University, supervised by Prof. Xiaodong Zhang.

My research interest lies in using the reasoning ability of neural networks and Large Language Models in robot decision-making and navigation tasks. Specifically, incorporating Large Language Models with reinforcement learning approaches in multi-agent coordination, scene understanding, and opponents’ intention inference when navigating and collaborating under complex and heterogeneous environments.

Please check list of publications here.

Research Interest

• Reinforcement Learning
• Autonomous Driving
• Large Language Model
• Robotics

Education

• Ph.D. in Electrical and Computer Engineering, University of Maryland, College Park, 2021 - 2026 (Expected)
• M.S. in Electrical and Computer Engineering, Georgia Institute of Technology, 2019 - 2021
• B.Eng. in Electrical Engineering (Honors Class), Tianjin University, 2015 - 2019

News

Selected Publications

	AUTOHALLUSION: Automatic Generation of Hallucination Benchmarks for Vision-Language Models Xiyang Wu*, Tianrui Guan*, Dianqi Li, Shuaiyi Huang, Xiaoyu Liu, Xijun Wang, Ruiqi Xian, Abhinav Shrivastava, Furong Huang, Jordan Lee Boyd-Graber, Tianyi Zhou, Dinesh Manocha (* indicates equal contributions) The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024) 2024. [paper] [webpage] [code]
	Highlighting the Safety Concerns of Deploying LLMs/VLMs in Robotics Xiyang Wu, Souradip Chakraborty, Ruiqi Xian, Jing Liang, Tianrui Guan, Fuxiao Liu, Brian Sadler, Dinesh Manocha, Amrit Singh Bedi arXiv:2402.10340 (Under Review) 2024. [paper] [webpage] [code]
	LANCAR: Leveraging Language for Context-Aware Robot Locomotion in Unstructured Environments Chak Lam Shek*, Xiyang Wu*, Wesley A. Suttle, Carl Busart, Erin Zaroukian, Dinesh Manocha, Pratap Tokekar, Amrit Singh Bedi (* indicates equal contributions) The IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024) 2024. [paper] [webpage]
	HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models Tianrui Guan*, Fuxiao Liu*, Xiyang Wu, Ruiqi Xian, Zongxia Li, Xiaoyu Liu, Xijun Wang, Lichang Chen, Furong Huang, Yaser Yacoob, Dinesh Manocha, Tianyi Zhou (* indicates equal contributions) The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR 2024) 2024. [paper] [webpage] [code]
	iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning Xiyang Wu, Rohan Chandra, Tianrui Guan, Amrit Singh Bedi, Dinesh Manocha 7th Annual Conference on Robot Learning (CoRL 2023) 2023. oral (6.6%) Abridged in IROS 2023 Advances in Multi-Agent Learning - Coordination, Peception and Control Workshop. Best Paper and Presentation Award. [paper] [webpage] [code]