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Zhihan Zhang 0001
Person information
- affiliation: University of Notre Dame, Notre Dame, IN, USA
Other persons with the same name
- Zhihan Zhang — disambiguation page
- Zhihan Zhang 0002
— University of Washington, Paul G. Allen School of Computer Science and Engineering, Seattle, WA, USA
- Zhihan Zhang 0003
— Fudan University, School of Computer Science, Shanghai, China
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2020 – today
- 2025
- [i27]Zhihan Zhang, Shiyang Li, Zixuan Zhang, Xin Liu, Haoming Jiang, Xianfeng Tang, Yifan Gao, Zheng Li, Haodong Wang, Zhaoxuan Tan, Yichuan Li, Qingyu Yin, Bing Yin, Meng Jiang:
IHEval: Evaluating Language Models on Following the Instruction Hierarchy. CoRR abs/2502.08745 (2025) - 2024
- [c16]Zhihan Zhang, Dong-Ho Lee, Yuwei Fang, Wenhao Yu, Mengzhao Jia, Meng Jiang, Francesco Barbieri:
PLUG: Leveraging Pivot Language in Cross-Lingual Instruction Tuning. ACL (1) 2024: 7025-7046 - [c15]Qingkai Zeng
, Yuyang Bai
, Zhaoxuan Tan
, Shangbin Feng
, Zhenwen Liang
, Zhihan Zhang
, Meng Jiang
:
Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited Examples. CIKM 2024: 3093-3102 - [c14]Zhenyu Wu, Qingkai Zeng, Zhihan Zhang, Zhaoxuan Tan, Chao Shen, Meng Jiang:
Large Language Models Can Self-Correct with Key Condition Verification. EMNLP 2024: 12846-12867 - [c13]Noah Ziems, Zhihan Zhang, Meng Jiang:
TOWER: Tree Organized Weighting for Evaluating Complex Instructions. EMNLP (Findings) 2024: 13803-13810 - [c12]Zhihan Zhang, Tao Ge, Zhenwen Liang, Wenhao Yu, Dian Yu, Mengzhao Jia, Dong Yu, Meng Jiang:
Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning. EMNLP 2024: 14720-14738 - [i26]Qingkai Zeng, Yuyang Bai, Zhaoxuan Tan, Shangbin Feng, Zhenwen Liang, Zhihan Zhang, Meng Jiang:
Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited Examples. CoRR abs/2402.07386 (2024) - [i25]Mengzhao Jia, Zhihan Zhang, Wenhao Yu, Fangkai Jiao, Meng Jiang:
Describe-then-Reason: Improving Multimodal Mathematical Reasoning through Visual Comprehension Training. CoRR abs/2404.14604 (2024) - [i24]Zhenyu Wu, Qingkai Zeng, Zhihan Zhang, Zhaoxuan Tan, Chao Shen, Meng Jiang:
Large Language Models Can Self-Correct with Minimal Effort. CoRR abs/2405.14092 (2024) - [i23]Zhenwen Liang, Dian Yu, Wenhao Yu, Wenlin Yao, Zhihan Zhang, Xiangliang Zhang, Dong Yu:
MathChat: Benchmarking Mathematical Reasoning and Instruction Following in Multi-Turn Interactions. CoRR abs/2405.19444 (2024) - [i22]Zhihan Zhang, Zhenwen Liang, Wenhao Yu, Dian Yu, Mengzhao Jia, Dong Yu, Meng Jiang:
Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning. CoRR abs/2406.12050 (2024) - [i21]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) - [i20]Mengzhao Jia, Wenhao Yu, Kaixin Ma, Tianqing Fang, Zhihan Zhang, Siru Ouyang, Hongming Zhang, Meng Jiang, Dong Yu:
Leopard: A Vision Language Model For Text-Rich Multi-Image Tasks. CoRR abs/2410.01744 (2024) - [i19]Noah Ziems, Zhihan Zhang, Meng Jiang:
TOWER: Tree Organized Weighting for Evaluating Complex Instructions. CoRR abs/2410.06089 (2024) - [i18]Zhenyu Wu, Qingkai Zeng, Zhihan Zhang, Zhaoxuan Tan, Chao Shen, Meng Jiang:
Enhancing Mathematical Reasoning in LLMs by Stepwise Correction. CoRR abs/2410.12934 (2024) - [i17]Zifeng Zhu, Mengzhao Jia, Zhihan Zhang, Lang Li, Meng Jiang:
MultiChartQA: Benchmarking Vision-Language Models on Multi-Chart Problems. CoRR abs/2410.14179 (2024) - [i16]Siru Ouyang, Wenhao Yu, Kaixin Ma, Zilin Xiao, Zhihan Zhang, Mengzhao Jia, Jiawei Han, Hongming Zhang, Dong Yu:
RepoGraph: Enhancing AI Software Engineering with Repository-level Code Graph. CoRR abs/2410.14684 (2024) - 2023
- [j4]Zhihan Zhang, Wenhao Yu, Zheng Ning, Mingxuan Ju, Meng Jiang:
Exploring Contrast Consistency of Open-Domain Question Answering Systems on Minimally Edited Questions. Trans. Assoc. Comput. Linguistics 11: 1082-1096 (2023) - [j3]Daheng Wang
, Zhihan Zhang, Yihong Ma, Tong Zhao
, Tianwen Jiang, Nitesh V. Chawla
, Meng Jiang
:
Modeling Co-Evolution of Attributed and Structural Information in Graph Sequence. IEEE Trans. Knowl. Data Eng. 35(2): 1817-1830 (2023) - [j2]Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, Qian Liu, Evgenii Zheltonozhskii, Terry Yue Zhuo, Thomas Wang, Olivier Dehaene, Mishig Davaadorj, Joel Lamy-Poirier, João Monteiro, Oleh Shliazhko, Nicolas Gontier, Nicholas Meade, Armel Zebaze, Ming-Ho Yee, Logesh Kumar Umapathi, Jian Zhu, Benjamin Lipkin, Muhtasham Oblokulov, Zhiruo Wang, Rudra Murthy V, Jason T. Stillerman, Siva Sankalp Patel, Dmitry Abulkhanov, Marco Zocca, Manan Dey, Zhihan Zhang, Nour Fahmy, Urvashi Bhattacharyya, Wenhao Yu, Swayam Singh, Sasha Luccioni, Paulo Villegas, Maxim Kunakov, Fedor Zhdanov, Manuel Romero, Tony Lee, Nadav Timor, Jennifer Ding, Claire Schlesinger, Hailey Schoelkopf, Jan Ebert, Tri Dao, Mayank Mishra, Alex Gu, Jennifer Robinson, Carolyn Jane Anderson, Brendan Dolan-Gavitt, Danish Contractor, Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, Harm de Vries:
StarCoder: may the source be with you! Trans. Mach. Learn. Res. 2023 (2023) - [c11]Noah Ziems, Wenhao Yu, Zhihan Zhang, Meng Jiang:
Large Language Models are Built-in Autoregressive Search Engines. ACL (Findings) 2023: 2666-2678 - [c10]Zhihan Zhang, Wenhao Yu, Mengxia Yu, Zhichun Guo, Meng Jiang:
A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods. EACL 2023: 943-956 - [c9]Zhihan Zhang, Shuohang Wang, Wenhao Yu, Yichong Xu, Dan Iter, Qingkai Zeng, Yang Liu, Chenguang Zhu, Meng Jiang:
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models. EMNLP (Findings) 2023: 9850-9867 - [c8]Mengxia Yu, Zhihan Zhang, Wenhao Yu, Meng Jiang:
Pre-training Language Models for Comparative Reasoning. EMNLP 2023: 12421-12433 - [i15]Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, Qian Liu, Evgenii Zheltonozhskii, Terry Yue Zhuo, Thomas Wang, Olivier Dehaene, Mishig Davaadorj, Joel Lamy-Poirier, João Monteiro, Oleh Shliazhko, Nicolas Gontier, Nicholas Meade, Armel Zebaze, Ming-Ho Yee, Logesh Kumar Umapathi, Jian Zhu, Benjamin Lipkin
, Muhtasham Oblokulov, Zhiruo Wang, Rudra Murthy V, Jason Stillerman, Siva Sankalp Patel, Dmitry Abulkhanov, Marco Zocca
, Manan Dey, Zhihan Zhang, Nour Moustafa-Fahmy, Urvashi Bhattacharyya, Wenhao Yu, Swayam Singh, Sasha Luccioni, Paulo Villegas, Maxim Kunakov, Fedor Zhdanov, Manuel Romero, Tony Lee, Nadav Timor, Jennifer Ding, Claire Schlesinger, Hailey Schoelkopf, Jan Ebert, Tri Dao, Mayank Mishra, Alex Gu, Jennifer Robinson, Carolyn Jane Anderson, Brendan Dolan-Gavitt, Danish Contractor, Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, Harm de Vries:
StarCoder: may the source be with you! CoRR abs/2305.06161 (2023) - [i14]Noah Ziems, Wenhao Yu, Zhihan Zhang, Meng Jiang:
Large Language Models are Built-in Autoregressive Search Engines. CoRR abs/2305.09612 (2023) - [i13]Wenhao Yu, Zhihan Zhang, Zhenwen Liang, Meng Jiang, Ashish Sabharwal:
Improving Language Models via Plug-and-Play Retrieval Feedback. CoRR abs/2305.14002 (2023) - [i12]Zhihan Zhang, Wenhao Yu, Zheng Ning, Mingxuan Ju, Meng Jiang:
Exploring Contrast Consistency of Open-Domain Question Answering Systems on Minimally Edited Questions. CoRR abs/2305.14441 (2023) - [i11]Mengxia Yu
, Zhihan Zhang, Wenhao Yu, Meng Jiang:
Pre-training Language Models for Comparative Reasoning. CoRR abs/2305.14457 (2023) - [i10]Zhihan Zhang, Shuohang Wang, Wenhao Yu, Yichong Xu, Dan Iter, Qingkai Zeng, Yang Liu, Chenguang Zhu, Meng Jiang:
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models. CoRR abs/2310.13127 (2023) - [i9]Zhihan Zhang, Dong-Ho Lee, Yuwei Fang, Wenhao Yu, Mengzhao Jia, Meng Jiang, Francesco Barbieri:
PLUG: Leveraging Pivot Language in Cross-Lingual Instruction Tuning. CoRR abs/2311.08711 (2023) - 2022
- [c7]Wenhao Yu, Chenguang Zhu, Lianhui Qin, Zhihan Zhang, Tong Zhao, Meng Jiang:
Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts. ACL (Findings) 2022: 1896-1906 - [c6]Zhihan Zhang, Wenhao Yu, Chenguang Zhu, Meng Jiang:
A Unified Encoder-Decoder Framework with Entity Memory. EMNLP 2022: 689-705 - [c5]Wenhao Yu, Chenguang Zhu, Zhihan Zhang, Shuohang Wang, Zhuosheng Zhang
, Yuwei Fang, Meng Jiang:
Retrieval Augmentation for Commonsense Reasoning: A Unified Approach. EMNLP 2022: 4364-4377 - [i8]Wenhao Yu, Chenguang Zhu, Lianhui Qin, Zhihan Zhang, Tong Zhao, Meng Jiang:
Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts. CoRR abs/2203.07285 (2022) - [i7]Zhihan Zhang, Wenhao Yu, Mengxia Yu, Zhichun Guo, Meng Jiang:
A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods. CoRR abs/2204.03508 (2022) - [i6]Gang Liu, Zhihan Zhang, Zheng Ning, Meng Jiang:
On the Relationship between Counterfactual Explainer and Recommender: A Framework and Preliminary Observations. CoRR abs/2207.04317 (2022) - [i5]Zhihan Zhang, Wenhao Yu, Chenguang Zhu, Meng Jiang:
A Unified Encoder-Decoder Framework with Entity Memory. CoRR abs/2210.03273 (2022) - [i4]Wenhao Yu, Chenguang Zhu, Zhihan Zhang, Shuohang Wang, Zhuosheng Zhang
, Yuwei Fang, Meng Jiang:
Retrieval Augmentation for Commonsense Reasoning: A Unified Approach. CoRR abs/2210.12887 (2022) - 2021
- [j1]Qian Liu
, Jie Lu
, Guangquan Zhang, Tao Shen
, Zhihan Zhang, Heyan Huang:
Domain-specific meta-embedding with latent semantic structures. Inf. Sci. 555: 410-423 (2021) - [c4]Zhihan Zhang, Xiubo Geng, Tao Qin
, Yunfang Wu, Daxin Jiang
:
Knowledge-Aware Procedural Text Understanding with Multi-Stage Training. WWW 2021: 3512-3523 - 2020
- [c3]Zhihan Zhang, Zhiyi Yin, Shuhuai Ren, Xinhang Li, Shicheng Li
:
DCA: Diversified Co-attention Towards Informative Live Video Commenting. NLPCC (2) 2020: 3-15 - [i3]Daheng Wang, Zhihan Zhang, Yihong Ma, Tong Zhao, Tianwen Jiang, Nitesh V. Chawla, Meng Jiang:
Learning Attribute-Structure Co-Evolutions in Dynamic Graphs. CoRR abs/2007.13004 (2020) - [i2]Zhihan Zhang, Xiubo Geng, Tao Qin, Yunfang Wu, Daxin Jiang:
Knowledge-Aware Procedural Text Understanding with Multi-Stage Training. CoRR abs/2009.13199 (2020)
2010 – 2019
- 2019
- [c2]Pengcheng Yang, Zhihan Zhang, Fuli Luo, Lei Li, Chengyang Huang, Xu Sun:
Cross-Modal Commentator: Automatic Machine Commenting Based on Cross-Modal Information. ACL (1) 2019: 2680-2686 - [c1]Tianwen Jiang, Zhihan Zhang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla
, Meng Jiang:
CTGA: Graph-based Biomedical Literature Search. BIBM 2019: 395-400 - [i1]Zhihan Zhang, Zhiyi Yin, Shuhuai Ren, Xinhang Li, Shicheng Li:
Diversified Co-Attention towards Informative Live Video Commenting. CoRR abs/1911.02739 (2019)
Coauthor Index

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last updated on 2025-05-02 23:58 CEST by the dblp team
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