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Glad to meet you here! I am Zhoujun (pronounced similar to Jorge). I am now a Ph.D. student at UC San Diego, advised by Prof. Zhiting Hu. Prior to this, I received my B.E. and M.E. degrees in Computer Science (IEEE class) from Shanghai Jiao Tong University. I also spent great times in HKUNLP advised by Prof. Tao Yu and Microsoft Research Asia with Haoyu Dong.
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My research interests lie in Natural Language Processing. In particular, I am working on two directions:
I am also fortunate to contribute to widely-used pretrain/eval datasets (MegaMath, OSWorld, TxT360, BigCodeBench). Before the LLM era, I worked on structured (table, database, spreadsheet) data reasoning (FORTAP, HiTab). My long-term goal is understanding AI to advance AI. |
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Zhoujun Cheng*, Shibo Hao*, Tianyang Liu*, Fan Zhou, Yutao Xie, Feng Yao, Yuexin Bian, Yonghao Zhuang, Nilabjo Dey, Yuheng Zha, Yi Gu, Kun Zhou, Yuqi Wang, Yuan Li, Richard Fan, Jianshu She, Chengqian Gao, Abulhair Saparov, Haonan Li, Taylor W. Killian, Mikhail Yurochkin, Zhengzhong Liu, Eric P. Xing, Zhiting Hu arXiv preprint pdf | website | dataset | code | model TL;DR: Investigating how RL for LLM reasoning transfers across six domains. |
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Fan Zhou*, Zengzhi Wang*, Nikhil Ranjan, Zhoujun Cheng, Liping Tang, Guowei He, Zhengzhong Liu, Eric P. Xing COLM 2025 pdf | dataset | code TL;DR: A 200B-scale high-quality mathematical mid-training dataset. |
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Tianbao Xie, Danyang Zhang, Jixuan Chen, Xiaochuan Li, Siheng Zhao, Ruisheng Cao, Toh Jing Hua, Zhoujun Cheng, Dongchan Shin, Fangyu Lei, Yitao Liu, Yiheng Xu, Shuyan Zhou, Silvio Savarese, Caiming Xiong, Victor Zhong, Tao Yu NeurIPS 2024 Datasets & Benchmarks, used by OpenAI and Anthropic. pdf | website | code | data | data viewer TL;DR: A computer use agent benchmark. |
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Zhiruo Wang, Zhoujun Cheng, Hao Zhu, Daniel Fried, Graham Neubig COLM 2024 pdf | collection TL;DR: An attempt to clarify and discuss some ambiguities in LM tool-using papers. |
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Tianbao Xie*, Fan Zhou*, Zhoujun Cheng*, Peng Shi*, Luoxuan Weng*, Yitao Liu*, Toh Jing Hua, Junning Zhao, Qian Liu, Che Liu, Leo Z. Liu, Yiheng Xu, Hongjin Su, Dongchan Shin, Caiming Xiong, Tao Yu COLM 2024, 4k github stars, 7k demo users pdf | code | demo | docs TL;DR: An open platform for using, hosting, and building language agents. |
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Yiheng Xu*, Hongjin Su*, Chen Xing*, Boyu Mi, Qian Liu, Weijia Shi, Binyuan Hui, Fan Zhou, Yitao Liu, Tianbao Xie, Zhoujun Cheng, Siheng Zhao, Lingpeng Kong, Bailin Wang, Caiming Xiong, Tao Yu ICLR 2024 (Spotlight) pdf | code | checkpoint TL;DR: A pretrained 70B agent model with balanced code-text corpora. |
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Zhoujun Cheng*, Tianbao Xie*, Peng Shi, Chengzu Li, Rahul Nadkarni, Yushi Hu, Caiming Xiong, Dragomir Radev, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu ICLR 2023 (Spotlight) pdf | code | demo TL;DR: A training-free neural-symbolic framework mapping task inputs to programs of LLM calls + symbolic languages. |
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Zhoujun Cheng*, Haoyu Dong*, Zhiruo Wang*, Ran Jia, Jiaqi Guo, Yan Gao, Shi Han, Jian-Guang Lou, Dongmei Zhang ACL 2022 pdf | code | dataset TL;DR: A hierarchical table dataset for question answering and natural language generation. |
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Zhoujun Cheng*, Haoyu Dong*, Ran Jia, Pengfei Wu, Shi Han, Fan Cheng, Dongmei Zhang ACL 2022 pdf | code TL;DR: Adopting spreadsheet formulas to enhance numerical reasoning skills of table modeling. |
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