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Zhoujun Cheng
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Journal Articles
- 2022
- [j1]Yang You, Chengkun Li, Yujing Lou, Zhoujun Cheng, Liangwei Li, Lizhuang Ma, Weiming Wang, Cewu Lu:
Understanding Pixel-Level 2D Image Semantics With 3D Keypoint Knowledge Engine. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5780-5795 (2022)
Conference and Workshop Papers
- 2024
- [c9]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:
Lemur: Harmonizing Natural Language and Code for Language Agents. ICLR 2024 - 2023
- [c8]Zhoujun Cheng, Jungo Kasai, Tao Yu:
Batch Prompting: Efficient Inference with Large Language Model APIs. EMNLP (Industry Track) 2023: 792-810 - [c7]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:
Binding Language Models in Symbolic Languages. ICLR 2023 - 2022
- [c6]Zhoujun Cheng, Haoyu Dong, Zhiruo Wang, Ran Jia, Jiaqi Guo, Yan Gao, Shi Han, Jian-Guang Lou, Dongmei Zhang:
HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation. ACL (1) 2022: 1094-1110 - [c5]Zhoujun Cheng, Haoyu Dong, Ran Jia, Pengfei Wu, Shi Han, Fan Cheng, Dongmei Zhang:
FORTAP: Using Formulas for Numerical-Reasoning-Aware Table Pretraining. ACL (1) 2022: 1150-1166 - [c4]Fan Zhou, Mengkang Hu, Haoyu Dong, Zhoujun Cheng, Fan Cheng, Shi Han, Dongmei Zhang:
TaCube: Pre-computing Data Cubes for Answering Numerical-Reasoning Questions over Tabular Data. EMNLP 2022: 2278-2291 - [c3]Haoyu Dong, Zhoujun Cheng, Xinyi He, Mengyu Zhou, Anda Zhou, Fan Zhou, Ao Liu, Shi Han, Dongmei Zhang:
Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks. IJCAI 2022: 5426-5435 - 2020
- [c2]Yang You, Yujing Lou, Chengkun Li, Zhoujun Cheng, Liangwei Li, Lizhuang Ma, Cewu Lu, Weiming Wang:
KeypointNet: A Large-Scale 3D Keypoint Dataset Aggregated From Numerous Human Annotations. CVPR 2020: 13644-13653 - [c1]Yujing Lou, Yang You, Chengkun Li, Zhoujun Cheng, Liangwei Li, Lizhuang Ma, Weiming Wang, Cewu Lu:
Human Correspondence Consensus for 3D Object Semantic Understanding. ECCV (22) 2020: 496-512
Informal and Other Publications
- 2024
- [i16]Zhiruo Wang, Zhoujun Cheng, Hao Zhu, Daniel Fried, Graham Neubig:
What Are Tools Anyway? A Survey from the Language Model Perspective. CoRR abs/2403.15452 (2024) - [i15]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:
OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments. CoRR abs/2404.07972 (2024) - [i14]Terry Yue Zhuo, Minh Chien Vu, Jenny Chim, Han Hu, Wenhao Yu, Ratnadira Widyasari, Imam Nur Bani Yusuf, Haolan Zhan, Junda He, Indraneil Paul, Simon Brunner, Chen Gong, Thong Hoang, Armel Randy Zebaze, Xiaoheng Hong, Wen-Ding Li, Jean Kaddour, Ming Xu, Zhihan Zhang, Prateek Yadav, Naman Jain, Alex Gu, Zhoujun Cheng, Jiawei Liu, Qian Liu, Zijian Wang, David Lo, Binyuan Hui, Niklas Muennighoff, Daniel Fried, Xiaoning Du, Harm de Vries, Leandro von Werra:
BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions. CoRR abs/2406.15877 (2024) - 2023
- [i13]Zhoujun Cheng, Jungo Kasai, Tao Yu:
Batch Prompting: Efficient Inference with Large Language Model APIs. CoRR abs/2301.08721 (2023) - [i12]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:
Lemur: Harmonizing Natural Language and Code for Language Agents. CoRR abs/2310.06830 (2023) - [i11]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:
OpenAgents: An Open Platform for Language Agents in the Wild. CoRR abs/2310.10634 (2023) - 2022
- [i10]Haoyu Dong, Zhoujun Cheng, Xinyi He, Mengyu Zhou, Anda Zhou, Fan Zhou, Ao Liu, Shi Han, Dongmei Zhang:
Table Pre-training: A Survey on Model Architectures, Pretraining Objectives, and Downstream Tasks. CoRR abs/2201.09745 (2022) - [i9]Fan Zhou, Mengkang Hu, Haoyu Dong, Zhoujun Cheng, Shi Han, Dongmei Zhang:
TaCube: Pre-computing Data Cubes for Answering Numerical-Reasoning Questions over Tabular Data. CoRR abs/2205.12682 (2022) - [i8]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:
Binding Language Models in Symbolic Languages. CoRR abs/2210.02875 (2022) - [i7]Fan Zhou, Haoyu Dong, Qian Liu, Zhoujun Cheng, Shi Han, Dongmei Zhang:
Reflection of Thought: Inversely Eliciting Numerical Reasoning in Language Models via Solving Linear Systems. CoRR abs/2210.05075 (2022) - 2021
- [i6]Zhoujun Cheng, Haoyu Dong, Zhiruo Wang, Ran Jia, Jiaqi Guo, Yan Gao, Shi Han, Jian-Guang Lou, Dongmei Zhang:
HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation. CoRR abs/2108.06712 (2021) - [i5]Zhoujun Cheng, Haoyu Dong, Fan Cheng, Ran Jia, Pengfei Wu, Shi Han, Dongmei Zhang:
FORTAP: Using Formulae for Numerical-Reasoning-Aware Table Pretraining. CoRR abs/2109.07323 (2021) - [i4]Yang You, Chengkun Li, Yujing Lou, Zhoujun Cheng, Liangwei Li, Lizhuang Ma, Weiming Wang, Cewu Lu:
Understanding Pixel-level 2D Image Semantics with 3D Keypoint Knowledge Engine. CoRR abs/2111.10817 (2021) - 2020
- [i3]Yang You, Yujing Lou, Chengkun Li, Zhoujun Cheng, Liangwei Li, Lizhuang Ma, Cewu Lu, Weiming Wang:
KeypointNet: A Large-scale 3D Keypoint Dataset Aggregated from Numerous Human Annotations. CoRR abs/2002.12687 (2020) - [i2]Yang You, Chengkun Li, Yujing Lou, Zhoujun Cheng, Lizhuang Ma, Cewu Lu, Weiming Wang:
Semantic Correspondence via 2D-3D-2D Cycle. CoRR abs/2004.09061 (2020) - 2019
- [i1]Yang You, Chengkun Li, Yujing Lou, Zhoujun Cheng, Liangwei Li, Lizhuang Ma, Weiming Wang, Cewu Lu:
Fine-grained Object Semantic Understanding from Correspondences. CoRR abs/1912.12577 (2019)
Coauthor Index
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