GeezerVison is showing xwang.dev — Xingyao Wang I am co-founder at  All Hands AI, building open source software agent OpenHands  , and a CS PhD candidate at the  University of Illinois Urbana-Champaign, advised by Prof. Heng Ji. I am interested in AI that improves itself in the real world: in how a system can turn what people actually do with it into supervision that makes it better, and in building the full stack that makes this possible, from the product where those signals come from down to the model that learns from them. I received my undergraduate degree at the University of Michigan in computer science and data science. Previously, I was an intern at Google Research (2023, multimodal LLM pre-training), Microsoft (2022, unit-test generation), ByteDance (2021, lightseq), and Tencent (2020, distributed deep learning). 2026 -
EvoClaw: Evaluating AI Agents on Continuous Software Evolution Gangda Deng, Zhaoling Chen, Zhongming Yu, Haoyang Fan, Yuhong Liu, Yuxin Yang, Dhruv Parikh, Rajgopal Kannan, Le Cong, Mengdi Wang, Qian Zhang, Viktor Prasanna, Xiangru Tang, and Xingyao Wang Arxiv preprint, Mar 2026 -
A Rubric-Supervised Critic from Sparse Real-World Outcomes Arxiv preprint, Mar 2026 -
The OpenHands Software Agent SDK: A Composable and Extensible Foundation for Production Agents Xingyao Wang, Simon Rosenberg, Juan Michelini, Calvin Smith, Hoang Tran, Engel Nyst, Rohit Malhotra, Xuhui Zhou, Valerie Chen, Robert Brennan, and Graham Neubig Proceedings of the Eighth Conference on Machine Learning and Systems, MLSys 2026, Bellevue, WA, USA (Oral), Nov 2026 2025 -
TOM-SWE: User Mental Modeling For Software Engineering Agents Xuhui Zhou, Valerie Chen, Zora Zhiruo Wang, Graham Neubig, Maarten Sap, and Xingyao Wang Arxiv preprint, Oct 2025 -
How can we assess human-agent interactions? Case studies in software agent design Valerie Chen, Rohit Malhotra, Xingyao Wang, Juan Michelini, Xuhui Zhou, Aditya Bharat Soni, Hoang H. Tran, Calvin Smith, Ameet Talwalkar, and Graham Neubig Arxiv preprint, Oct 2025 -
Devstral: Fine-tuning Language Models for Coding Agent Applications Abhinav Rastogi, Adam Yang, Albert Q. Jiang, Alexander H. Liu, Alexandre Sablayrolles, Amélie Héliou, Amélie Martin, Anmol Agarwal, Andy Ehrenberg, Andy Lo, Antoine Roux, Arthur Darcet, Arthur Mensch, Baptiste Bout, Baptiste Rozière, Baudouin De Monicault, Chris Bamford, Christian Wallenwein, Christophe Renaudin, Clémence Lanfranchi, Clément Denoix, Corentin Barreau, Darius Dabert Devon Mizelle, Diego Casas, Elliot Chane-Sane, Emilien Fugier, Emma Bou Hanna, Gabrielle Berrada, Gauthier Delerce, Gauthier Guinet, and 73 more authors Arxiv preprint, Aug 2025 -
LocAgent: Graph-Guided LLM Agents for Code Localization Zhaoling Chen, Xiangru Tang, Gangda Deng, Fang Wu, Jialong Wu, Zhiwei Jiang, Viktor Prasanna, Arman Cohan, and Xingyao Wang Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, Mar 2025 2024 -
Training Software Engineering Agents and Verifiers with SWE-Gym ICML 2025; DL4C Workshop @ ICLR 2025, Dec 2024 -
OpenHands: An Open Platform for AI Software Developers as Generalist Agents Xingyao Wang, Boxuan Li, Yufan Song, Frank F. Xu, Xiangru Tang, Mingchen Zhuge, Jiayi Pan, Yueqi Song, Bowen Li, Jaskirat Singh, Hoang H. Tran, Fuqiang Li, Ren Ma, Mingzhang Zheng, Bill Qian, Yanjun Shao, Niklas Muennighoff, Yizhe Zhang, Binyuan Hui, Junyang Lin, Robert Brennan, Hao Peng, Heng Ji, and Graham Neubig ICLR 2025, Jul 2024 -
Executable Code Actions Elicit Better LLM Agents ICML 2024; LLMAgents Workshop @ ICLR 2024 (Oral), Feb 2024 -
A Single Transformer for Scalable Vision-Language Modeling Transactions on Machine Learning Research, 2024, Jul 2024 -
MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback In Proceedings of the International Conference on Learning Representations, May 2024 -
CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets In Proceedings of the International Conference on Learning Representations, May 2024 -
LETI: Learning to Generate from Textual Interactions In Findings of the Association for Computational Linguistics: (NAACL); DaSH Workshop @ NAACL 2024 (Oral), Jun 2024 2023 -
Code4Struct: Code Generation for Few-Shot Event Structure Prediction In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Jul 2023
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