Zhoujun Cheng

33 papers A* 6Journal 23Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
IsoCompute Playbook: Optimally Scaling Sampling Compute for LLM RL.
CoRR
Zhoujun Cheng, Yutao Xie, Yuxiao Qu, Amrith Setlur, Shibo Hao, Varad Pimpalkhute, Tongtong Liang, Feng Yao, Zhengzhong Liu, Eric P. Xing, Virginia Smith, Ruslan Salakhutdinov, Zhiting Hu, Taylor W. Killian, Aviral Kumar
2025 J jnl
Concise Reasoning in the Lens of Lagrangian Optimization.
CoRR
Chengqian Gao, Haonan Li, Taylor W. Killian, Jianshu She, Renxi Wang, Liqun Ma, Zhoujun Cheng, Shibo Hao, Zhiqiang Xu
2025 J jnl
Esoteric Language Models.
CoRR
Subham Sekhar Sahoo, Zhihan Yang, Yash Akhauri, Johnna Liu, Deepansha Singh, Zhoujun Cheng, Zhengzhong Liu, Eric Xing, John Thickstun, Arash Vahdat
2025 J jnl
K2-Think: A Parameter-Efficient Reasoning System.
CoRR
Zhoujun Cheng, Richard Fan, Shibo Hao, Taylor W. Killian, Haonan Li, Suqi Sun, Hector Ren, Alexander Moreno, Daqian Zhang, Tianjun Zhong, Yuxin Xiong, Yuanzhe Hu, Yutao Xie, Xudong Han, Yuqi Wang, Varad Pimpalkhute, Yonghao Zhuang, Aaryamonvikram Singh, Xuezhi Liang, Anze Xie, Jianshu She, Desai Fan, Chengqian Gao, Liqun Ma, Mikhail Yurochkin, John Maggs, Xuezhe Ma, Guowei He, Zhiting Hu, Zhengzhong Liu, Eric P. Xing
2025 J jnl
MegaMath: Pushing the Limits of Open Math Corpora.
CoRR
Fan Zhou, Zengzhi Wang, Nikhil Ranjan, Zhoujun Cheng, Liping Tang, Guowei He, Zhengzhong Liu, Eric P. Xing
2025 J jnl
Revisiting Reinforcement Learning for LLM Reasoning from A Cross-Domain Perspective.
CoRR
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
2024 J jnl
BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions.
CoRR
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
2024 A* conf
Lemur: Harmonizing Natural Language and Code for Language Agents.
ICLR
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
2024 A* conf
OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments.
NeurIPS
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
2024 J jnl
OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments.
CoRR
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
2024 J jnl
What Are Tools Anyway? A Survey from the Language Model Perspective.
CoRR
Zhiruo Wang, Zhoujun Cheng, Hao Zhu, Daniel Fried, Graham Neubig
2023 — conf
Batch Prompting: Efficient Inference with Large Language Model APIs.
EMNLP (Industry Track)
Zhoujun Cheng, Jungo Kasai, Tao Yu
2023 J jnl
Batch Prompting: Efficient Inference with Large Language Model APIs.
CoRR
Zhoujun Cheng, Jungo Kasai, Tao Yu
2023 A* conf
Binding Language Models in Symbolic Languages.
ICLR
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
2023 J jnl
Lemur: Harmonizing Natural Language and Code for Language Agents.
CoRR
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
2023 J jnl
OpenAgents: An Open Platform for Language Agents in the Wild.
CoRR
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
2022 J jnl
Binding Language Models in Symbolic Languages.
CoRR
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
2022 — conf
FORTAP: Using Formulas for Numerical-Reasoning-Aware Table Pretraining.
ACL (1)
Zhoujun Cheng, Haoyu Dong, Ran Jia, Pengfei Wu, Shi Han, Fan Cheng, Dongmei Zhang
2022 — conf
HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation.
ACL (1)
Zhoujun Cheng, Haoyu Dong, Zhiruo Wang, Ran Jia, Jiaqi Guo, Yan Gao, Shi Han, Jian-Guang Lou, Dongmei Zhang
2022 J jnl
Reflection of Thought: Inversely Eliciting Numerical Reasoning in Language Models via Solving Linear Systems.
CoRR
Fan Zhou, Haoyu Dong, Qian Liu, Zhoujun Cheng, Shi Han, Dongmei Zhang
2022 A* conf
TaCube: Pre-computing Data Cubes for Answering Numerical-Reasoning Questions over Tabular Data.
EMNLP
Fan Zhou, Mengkang Hu, Haoyu Dong, Zhoujun Cheng, Fan Cheng, Shi Han, Dongmei Zhang
2022 J jnl
TaCube: Pre-computing Data Cubes for Answering Numerical-Reasoning Questions over Tabular Data.
CoRR
Fan Zhou, Mengkang Hu, Haoyu Dong, Zhoujun Cheng, Shi Han, Dongmei Zhang
2022 A* conf
Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks.
IJCAI
Haoyu Dong, Zhoujun Cheng, Xinyi He, Mengyu Zhou, Anda Zhou, Fan Zhou, Ao Liu, Shi Han, Dongmei Zhang
2022 J jnl
Table Pre-training: A Survey on Model Architectures, Pretraining Objectives, and Downstream Tasks.
CoRR
Haoyu Dong, Zhoujun Cheng, Xinyi He, Mengyu Zhou, Anda Zhou, Fan Zhou, Ao Liu, Shi Han, Dongmei Zhang
2022 J jnl
Understanding Pixel-Level 2D Image Semantics With 3D Keypoint Knowledge Engine.
IEEE Trans. Pattern Anal. Mach. Intell.
Yang You, Chengkun Li, Yujing Lou, Zhoujun Cheng, Liangwei Li, Lizhuang Ma, Weiming Wang, Cewu Lu
2021 J jnl
FORTAP: Using Formulae for Numerical-Reasoning-Aware Table Pretraining.
CoRR
Zhoujun Cheng, Haoyu Dong, Fan Cheng, Ran Jia, Pengfei Wu, Shi Han, Dongmei Zhang
2021 J jnl
HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation.
CoRR
Zhoujun Cheng, Haoyu Dong, Zhiruo Wang, Ran Jia, Jiaqi Guo, Yan Gao, Shi Han, Jian-Guang Lou, Dongmei Zhang
2021 J jnl
Understanding Pixel-level 2D Image Semantics with 3D Keypoint Knowledge Engine.
CoRR
Yang You, Chengkun Li, Yujing Lou, Zhoujun Cheng, Liangwei Li, Lizhuang Ma, Weiming Wang, Cewu Lu
2020 — conf
Human Correspondence Consensus for 3D Object Semantic Understanding.
ECCV (22)
Yujing Lou, Yang You, Chengkun Li, Zhoujun Cheng, Liangwei Li, Lizhuang Ma, Weiming Wang, Cewu Lu
2020 A* conf
KeypointNet: A Large-Scale 3D Keypoint Dataset Aggregated From Numerous Human Annotations.
CVPR
Yang You, Yujing Lou, Chengkun Li, Zhoujun Cheng, Liangwei Li, Lizhuang Ma, Cewu Lu, Weiming Wang
2020 J jnl
KeypointNet: A Large-scale 3D Keypoint Dataset Aggregated from Numerous Human Annotations.
CoRR
Yang You, Yujing Lou, Chengkun Li, Zhoujun Cheng, Liangwei Li, Lizhuang Ma, Cewu Lu, Weiming Wang
2020 J jnl
Semantic Correspondence via 2D-3D-2D Cycle.
CoRR
Yang You, Chengkun Li, Yujing Lou, Zhoujun Cheng, Lizhuang Ma, Cewu Lu, Weiming Wang
2019 J jnl
Fine-grained Object Semantic Understanding from Correspondences.
CoRR
Yang You, Chengkun Li, Yujing Lou, Zhoujun Cheng, Liangwei Li, Lizhuang Ma, Weiming Wang, Cewu Lu