Zhihan Zhang

59 papers A* 8A 2Journal 35Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Training LLMs for Multi-Step Tool Orchestration with Constrained Data Synthesis and Graduated Rewards.
CoRR
Cheng Jiayang, Xin Liu, Zhihan Zhang, Haoyang Wen, Zixuan Zhang, Qingyu Yin, Shiyang Li, Priyanka Nigam, Bing Yin, Chao Zhang, Yangqiu Song
2025 — conf
ALERT: An LLM-powered Benchmark for Automatic Evaluation of Recommendation Explanations.
NAACL (Long Papers)
Yichuan Li, Xinyang Zhang, Chenwei Zhang, Mao Li, Tianyi Liu, Pei Chen, Yifan Gao, Kyumin Lee, Kaize Ding, Zhengyang Wang, Zhihan Zhang, Jingbo Shang, Xian Li, Trishul Chilimbi
2025 — conf
Advancing Language Models through Instruction Tuning: Recent Progress and Challenges.
EMNLP (Tutorial Abstracts)
Zhihan Zhang, Renze Lou, Fangkai Jiao, Wenpeng Yin, Meng Jiang
2025 — conf
Aligning Large Language Models with Implicit Preferences from User-Generated Content.
ACL (1)
Zhaoxuan Tan, Zheng Li, Tianyi Liu, Haodong Wang, Hyokun Yun, Ming Zeng, Pei Chen, Zhihan Zhang, Yifan Gao, Ruijie Wang, Priyanka Nigam, Bing Yin, Meng Jiang
2025 J jnl
Aligning Large Language Models with Implicit Preferences from User-Generated Content.
CoRR
Zhaoxuan Tan, Zheng Li, Tianyi Liu, Haodong Wang, Hyokun Yun, Ming Zeng, Pei Chen, Zhihan Zhang, Yifan Gao, Ruijie Wang, Priyanka Nigam, Bing Yin, Meng Jiang
2025 J jnl
AutoRubric-R1V: Rubric-Based Generative Rewards for Faithful Multimodal Reasoning.
CoRR
Mengzhao Jia, Zhihan Zhang, Ignacio Cases, Zheyuan Liu, Meng Jiang, Peng Qi
2025 A* conf
BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions.
ICLR
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, James Hoang, Armel Randy Zebaze, Xiaoheng Hong, Wen-Ding Li, Jean Kaddour, Ming Xu, Zhihan Zhang, Prateek Yadav, et al.
2025 — conf
Enhancing Mathematical Reasoning in LLMs by Stepwise Correction.
ACL (1)
Zhenyu Wu, Qingkai Zeng, Zhihan Zhang, Zhaoxuan Tan, Chao Shen, Meng Jiang
2025 — conf
IHEval: Evaluating Language Models on Following the Instruction Hierarchy.
NAACL (Long Papers)
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
2025 J jnl
IHEval: Evaluating Language Models on Following the Instruction Hierarchy.
CoRR
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
2025 J jnl
Leopard: A Vision Language Model for Text-Rich Multi- Image Tasks.
Trans. Mach. Learn. Res.
Mengzhao Jia, Wenhao Yu, Kaixin Ma, Tianqing Fang, Zhihan Zhang, Siru Ouyang, Hongming Zhang, Dong Yu, Meng Jiang
2025 — conf
MultiChartQA: Benchmarking Vision-Language Models on Multi-Chart Problems.
NAACL (Long Papers)
Zifeng Zhu, Mengzhao Jia, Zhihan Zhang, Lang Li, Meng Jiang
2025 A* conf
RepoGraph: Enhancing AI Software Engineering with Repository-level Code Graph.
ICLR
Siru Ouyang, Wenhao Yu, Kaixin Ma, Zilin Xiao, Zhihan Zhang, Mengzhao Jia, Jiawei Han, Hongming Zhang, Dong Yu
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
Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited Examples.
CIKM
Qingkai Zeng, Yuyang Bai, Zhaoxuan Tan, Shangbin Feng, Zhenwen Liang, Zhihan Zhang, Meng Jiang
2024 J jnl
Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited Examples.
CoRR
Qingkai Zeng, Yuyang Bai, Zhaoxuan Tan, Shangbin Feng, Zhenwen Liang, Zhihan Zhang, Meng Jiang
2024 J jnl
Describe-then-Reason: Improving Multimodal Mathematical Reasoning through Visual Comprehension Training.
CoRR
Mengzhao Jia, Zhihan Zhang, Wenhao Yu, Fangkai Jiao, Meng Jiang
2024 J jnl
Enhancing Mathematical Reasoning in LLMs by Stepwise Correction.
CoRR
Zhenyu Wu, Qingkai Zeng, Zhihan Zhang, Zhaoxuan Tan, Chao Shen, Meng Jiang
2024 A* conf
Large Language Models Can Self-Correct with Key Condition Verification.
EMNLP
Zhenyu Wu, Qingkai Zeng, Zhihan Zhang, Zhaoxuan Tan, Chao Shen, Meng Jiang
2024 J jnl
Large Language Models Can Self-Correct with Minimal Effort.
CoRR
Zhenyu Wu, Qingkai Zeng, Zhihan Zhang, Zhaoxuan Tan, Chao Shen, Meng Jiang
2024 A* conf
Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning.
EMNLP
Zhihan Zhang, Tao Ge, Zhenwen Liang, Wenhao Yu, Dian Yu, Mengzhao Jia, Dong Yu, Meng Jiang
2024 J jnl
Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning.
CoRR
Zhihan Zhang, Zhenwen Liang, Wenhao Yu, Dian Yu, Mengzhao Jia, Dong Yu, Meng Jiang
2024 J jnl
Leopard: A Vision Language Model For Text-Rich Multi-Image Tasks.
CoRR
Mengzhao Jia, Wenhao Yu, Kaixin Ma, Tianqing Fang, Zhihan Zhang, Siru Ouyang, Hongming Zhang, Meng Jiang, Dong Yu
2024 J jnl
MathChat: Benchmarking Mathematical Reasoning and Instruction Following in Multi-Turn Interactions.
CoRR
Zhenwen Liang, Dian Yu, Wenhao Yu, Wenlin Yao, Zhihan Zhang, Xiangliang Zhang, Dong Yu
2024 J jnl
MultiChartQA: Benchmarking Vision-Language Models on Multi-Chart Problems.
CoRR
Zifeng Zhu, Mengzhao Jia, Zhihan Zhang, Lang Li, Meng Jiang
2024 — conf
PLUG: Leveraging Pivot Language in Cross-Lingual Instruction Tuning.
ACL (1)
Zhihan Zhang, Dong-Ho Lee, Yuwei Fang, Wenhao Yu, Mengzhao Jia, Meng Jiang, Francesco Barbieri
2024 J jnl
RepoGraph: Enhancing AI Software Engineering with Repository-level Code Graph.
CoRR
Siru Ouyang, Wenhao Yu, Kaixin Ma, Zilin Xiao, Zhihan Zhang, Mengzhao Jia, Jiawei Han, Hongming Zhang, Dong Yu
2024 — conf
TOWER: Tree Organized Weighting for Evaluating Complex Instructions.
EMNLP (Findings)
Noah Ziems, Zhihan Zhang, Meng Jiang
2024 J jnl
TOWER: Tree Organized Weighting for Evaluating Complex Instructions.
CoRR
Noah Ziems, Zhihan Zhang, Meng Jiang
2023 A conf
A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods.
EACL
Zhihan Zhang, Wenhao Yu, Mengxia Yu, Zhichun Guo, Meng Jiang
2023 — conf
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models.
EMNLP (Findings)
Zhihan Zhang, Shuohang Wang, Wenhao Yu, Yichong Xu, Dan Iter, Qingkai Zeng, Yang Liu, Chenguang Zhu, Meng Jiang
2023 J jnl
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models.
CoRR
Zhihan Zhang, Shuohang Wang, Wenhao Yu, Yichong Xu, Dan Iter, Qingkai Zeng, Yang Liu, Chenguang Zhu, Meng Jiang
2023 J jnl
Exploring Contrast Consistency of Open-Domain Question Answering Systems on Minimally Edited Questions.
CoRR
Zhihan Zhang, Wenhao Yu, Zheng Ning, Mingxuan Ju, Meng Jiang
2023 J jnl
Exploring Contrast Consistency of Open-Domain Question Answering Systems on Minimally Edited Questions.
Trans. Assoc. Comput. Linguistics
Zhihan Zhang, Wenhao Yu, Zheng Ning, Mingxuan Ju, Meng Jiang
2023 J jnl
Improving Language Models via Plug-and-Play Retrieval Feedback.
CoRR
Wenhao Yu, Zhihan Zhang, Zhenwen Liang, Meng Jiang, Ashish Sabharwal
2023 — conf
Large Language Models are Built-in Autoregressive Search Engines.
ACL (Findings)
Noah Ziems, Wenhao Yu, Zhihan Zhang, Meng Jiang
2023 J jnl
Large Language Models are Built-in Autoregressive Search Engines.
CoRR
Noah Ziems, Wenhao Yu, Zhihan Zhang, Meng Jiang
2023 J jnl
Modeling Co-Evolution of Attributed and Structural Information in Graph Sequence.
IEEE Trans. Knowl. Data Eng.
Daheng Wang, Zhihan Zhang, Yihong Ma, Tong Zhao, Tianwen Jiang, Nitesh V. Chawla, Meng Jiang
2023 J jnl
PLUG: Leveraging Pivot Language in Cross-Lingual Instruction Tuning.
CoRR
Zhihan Zhang, Dong-Ho Lee, Yuwei Fang, Wenhao Yu, Mengzhao Jia, Meng Jiang, Francesco Barbieri
2023 A* conf
Pre-training Language Models for Comparative Reasoning.
EMNLP
Mengxia Yu, Zhihan Zhang, Wenhao Yu, Meng Jiang
2023 J jnl
Pre-training Language Models for Comparative Reasoning.
CoRR
Mengxia Yu, Zhihan Zhang, Wenhao Yu, Meng Jiang
2023 J jnl
StarCoder: may the source be with you!
CoRR
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
2023 J jnl
StarCoder: may the source be with you!
Trans. Mach. Learn. Res.
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
2022 J jnl
A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods.
CoRR
Zhihan Zhang, Wenhao Yu, Mengxia Yu, Zhichun Guo, Meng Jiang
2022 A* conf
A Unified Encoder-Decoder Framework with Entity Memory.
EMNLP
Zhihan Zhang, Wenhao Yu, Chenguang Zhu, Meng Jiang
2022 J jnl
A Unified Encoder-Decoder Framework with Entity Memory.
CoRR
Zhihan Zhang, Wenhao Yu, Chenguang Zhu, Meng Jiang
2022 — conf
Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts.
ACL (Findings)
Wenhao Yu, Chenguang Zhu, Lianhui Qin, Zhihan Zhang, Tong Zhao, Meng Jiang
2022 J jnl
Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts.
CoRR
Wenhao Yu, Chenguang Zhu, Lianhui Qin, Zhihan Zhang, Tong Zhao, Meng Jiang
2022 J jnl
On the Relationship between Counterfactual Explainer and Recommender: A Framework and Preliminary Observations.
CoRR
Gang Liu, Zhihan Zhang, Zheng Ning, Meng Jiang
2022 A* conf
Retrieval Augmentation for Commonsense Reasoning: A Unified Approach.
EMNLP
Wenhao Yu, Chenguang Zhu, Zhihan Zhang, Shuohang Wang, Zhuosheng Zhang, Yuwei Fang, Meng Jiang
2022 J jnl
Retrieval Augmentation for Commonsense Reasoning: A Unified Approach.
CoRR
Wenhao Yu, Chenguang Zhu, Zhihan Zhang, Shuohang Wang, Zhuosheng Zhang, Yuwei Fang, Meng Jiang
2021 J jnl
Domain-specific meta-embedding with latent semantic structures.
Inf. Sci.
Qian Liu, Jie Lu, Guangquan Zhang, Tao Shen, Zhihan Zhang, Heyan Huang
2021 A* conf
Knowledge-Aware Procedural Text Understanding with Multi-Stage Training.
WWW
Zhihan Zhang, Xiubo Geng, Tao Qin, Yunfang Wu, Daxin Jiang
2020 — conf
DCA: Diversified Co-attention Towards Informative Live Video Commenting.
NLPCC (2)
Zhihan Zhang, Zhiyi Yin, Shuhuai Ren, Xinhang Li, Shicheng Li
2020 J jnl
Knowledge-Aware Procedural Text Understanding with Multi-Stage Training.
CoRR
Zhihan Zhang, Xiubo Geng, Tao Qin, Yunfang Wu, Daxin Jiang
2020 J jnl
Learning Attribute-Structure Co-Evolutions in Dynamic Graphs.
CoRR
Daheng Wang, Zhihan Zhang, Yihong Ma, Tong Zhao, Tianwen Jiang, Nitesh V. Chawla, Meng Jiang
2019 — conf
CTGA: Graph-based Biomedical Literature Search.
BIBM
Tianwen Jiang, Zhihan Zhang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang
2019 — conf
Cross-Modal Commentator: Automatic Machine Commenting Based on Cross-Modal Information.
ACL (1)
Pengcheng Yang, Zhihan Zhang, Fuli Luo, Lei Li, Chengyang Huang, Xu Sun
2019 J jnl
Diversified Co-Attention towards Informative Live Video Commenting.
CoRR
Zhihan Zhang, Zhiyi Yin, Shuhuai Ren, Xinhang Li, Shicheng Li