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Glad to meet you here! I am Zhoujun (pronounced similar to Jorge). I am now a first-year Ph.D. student at UC San Diego, advised by Prof. Zhiting Hu. Before that, I received my B.E. and M.E. degrees in Computer Science (IEEE class) from Shanghai Jiao Tong University, under the supervision of Prof. Fan Cheng. I also spent great times in HKUNLP advised by Prof. Tao Yu and Microsoft Research Asia with Haoyu Dong. My research interests lie in the intersection of building large language models and agent systems.
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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 pdf | website | code | data | data viewer An executable environment for benchmarking multi-modal agents on computers. |
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Zhiruo Wang, Zhoujun Cheng, Hao Zhu, Daniel Fried, Graham Neubig COLM 2024 pdf | collection 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 pdf | code | demo | docs 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 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 A training-free neural-symbolic framework mapping task inputs to programs of LLM calls + symbolic languages. |
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Zhoujun Cheng, Jungo Kasai, Tao Yu EMNLP 2023 Industry Track pdf | code A simple prompting approach that enables the LLMs to run inference in batches to save budgets&time. |
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Fan Zhou, Mengkang Hu, Haoyu Dong, Zhoujun Cheng, Shi Han, Dongmei Zhang EMNLP 2022 (Oral) pdf | code Precomputing aggregation/arithmetic results to assist table numerical reasoning. |
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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 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 Adopting spreadsheet formulas to enhance numerical reasoning skills of table modeling. |
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Haoyu Dong, Zhoujun Cheng, Xinyi He, Mengyu Zhou, Anda Zhou, Fan Zhou, Ao Liu, Shi Han, Dongmei Zhang IJCAI 2022 Survey Track A survey on various tabular models, especially on the pretrained transformers. |
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Yang You, Yujing Lou*, Chengkun Li*, Zhoujun Cheng, Liangwei Li, Lizhuang Ma, Cewu Lu, Weiming Wang CVPR 2020 pdf | code A large-scale and diverse 3D keypoint dataset. |
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Yujing Lou*, Yang You*, Chengkun Li*, Zhoujun Cheng, Liangwei Li, Lizhuang Ma, Weiming Wang, Cewu Lu ECCV 2020 pdf | code Learning dense semantic correspondences on 3D objects. |
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OpenAgents is an agent engineering platform for LLM-powered agents. Before the online service stops, it gained 3.5K stars on Github and has been used by 7K+ users. It has three built-in agents: demo | code | docs | twitter |
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Beyond academics, I love exploring various cuisines and cooking (inspired by @美食作家王刚), and have fun with Dota2 (inspired by @谢彬DD). Additionally, I've been a fan of the NBA and have enjoyed playing basketball ever since the Mavericks won the championship, largely due to my admiration for Dirk Nowitzki.
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