Cross-Modal Commentator: Automatic Machine Commenting Based on Cross-Modal Information. - Pengcheng Yang; Zhihan Zhang 001; Fuli Luo; Lei Li 039; Chengyang Huang; Xu Sun 001 (ACL (1), 2019)

CTGA: Graph-based Biomedical Literature Search. - Tianwen Jiang; Zhihan Zhang 001; Tong Zhao 003; Bing Qin 001; Ting Liu 001; Nitesh V. Chawla; Meng Jiang 001 (BIBM, 2019)

Diversified Co-Attention towards Informative Live Video Commenting. - Zhihan Zhang 001; Zhiyi Yin; Shuhuai Ren; Xinhang Li; Shicheng Li (CoRR, 2019)

DCA: Diversified Co-attention Towards Informative Live Video Commenting. - Zhihan Zhang 001; Zhiyi Yin; Shuhuai Ren; Xinhang Li; Shicheng Li (NLPCC (2), 2020)

Learning Attribute-Structure Co-Evolutions in Dynamic Graphs. - Daheng Wang; Zhihan Zhang 001; Yihong Ma; Tong Zhao 003; Tianwen Jiang; Nitesh V. Chawla; Meng Jiang 001 (CoRR, 2020)

Knowledge-Aware Procedural Text Understanding with Multi-Stage Training. - Zhihan Zhang 001; Xiubo Geng; Tao Qin 001; Yunfang Wu; Daxin Jiang (WWW, 2021)

Domain-specific meta-embedding with latent semantic structures. - Qian Liu 012; Jie Lu 001; Guangquan Zhang 001; Tao Shen 001; Zhihan Zhang 001; Heyan Huang (Inf. Sci., 2021)

Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts. - Wenhao Yu 002; Chenguang Zhu 001; Lianhui Qin; Zhihan Zhang 001; Tong Zhao 003; Meng Jiang 001 (ACL (Findings), 2022)

Retrieval Augmentation for Commonsense Reasoning: A Unified Approach. - Wenhao Yu 002; Chenguang Zhu 001; Zhihan Zhang 001; Shuohang Wang; Zhuosheng Zhang 001; Yuwei Fang; Meng Jiang 001 (EMNLP, 2022)

A Unified Encoder-Decoder Framework with Entity Memory. - Zhihan Zhang 001; Wenhao Yu 002; Chenguang Zhu 001; Meng Jiang 001 (EMNLP, 2022)

On the Relationship between Counterfactual Explainer and Recommender: A Framework and Preliminary Observations. - Gang Liu 025; Zhihan Zhang 001; Zheng Ning; Meng Jiang 001 (CoRR, 2022)

Large Language Models are Built-in Autoregressive Search Engines. - Noah Ziems; Wenhao Yu 002; Zhihan Zhang 001; Meng Jiang 001 (ACL (Findings), 2023)

A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods. - Zhihan Zhang 001; Wenhao Yu 002; Mengxia Yu; Zhichun Guo; Meng Jiang 001 (EACL, 2023)

Pre-training Language Models for Comparative Reasoning. - Mengxia Yu; Zhihan Zhang 001; Wenhao Yu 002; Meng Jiang 001 (EMNLP, 2023)

Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models. - Zhihan Zhang 001; Shuohang Wang; Wenhao Yu 002; Yichong Xu; Dan Iter; Qingkai Zeng 001; Yang Liu 124; Chenguang Zhu 001; Meng Jiang 001 (EMNLP (Findings), 2023)

Improving Language Models via Plug-and-Play Retrieval Feedback. - Wenhao Yu 002; Zhihan Zhang 001; Zhenwen Liang; Meng Jiang 001; Ashish Sabharwal (CoRR, 2023)

Exploring Contrast Consistency of Open-Domain Question Answering Systems on Minimally Edited Questions. - Zhihan Zhang 001; Wenhao Yu 002; Zheng Ning; Mingxuan Ju; Meng Jiang 001 (Trans. Assoc. Comput. Linguistics, 2023)

Modeling Co-Evolution of Attributed and Structural Information in Graph Sequence. - Daheng Wang; Zhihan Zhang 001; Yihong Ma; Tong Zhao 003; Tianwen Jiang; Nitesh V. Chawla; Meng Jiang 001 (IEEE Trans. Knowl. Data Eng., 2023)

StarCoder: may the source be with you! - Raymond Li; Loubna Ben Allal; Yangtian Zi; Niklas Muennighoff; Denis Kocetkov; Chenghao Mou; Marc Marone; Christopher Akiki; Jia Li 015; Jenny Chim; Qian Liu 012; Evgenii Zheltonozhskii; et al. (Trans. Mach. Learn. Res., 2023)

PLUG: Leveraging Pivot Language in Cross-Lingual Instruction Tuning. - Zhihan Zhang 001; Dong-Ho Lee; Yuwei Fang; Wenhao Yu 002; Mengzhao Jia; Meng Jiang 001; Francesco Barbieri (ACL (1), 2024)

Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited Examples. - Qingkai Zeng 001; Yuyang Bai; Zhaoxuan Tan; Shangbin Feng; Zhenwen Liang; Zhihan Zhang 001; Meng Jiang 001 (CIKM, 2024)

Large Language Models Can Self-Correct with Key Condition Verification. - Zhenyu Wu 004; Qingkai Zeng 001; Zhihan Zhang 001; Zhaoxuan Tan; Chao Shen; Meng Jiang 001 (EMNLP, 2024)

Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning. - Zhihan Zhang 001; Tao Ge 005; Zhenwen Liang; Wenhao Yu 002; Dian Yu 001; Mengzhao Jia; Dong Yu 001; Meng Jiang 001 (EMNLP, 2024)

TOWER: Tree Organized Weighting for Evaluating Complex Instructions. - Noah Ziems; Zhihan Zhang 001; Meng Jiang 001 (EMNLP (Findings), 2024)

Describe-then-Reason: Improving Multimodal Mathematical Reasoning through Visual Comprehension Training. - Mengzhao Jia; Zhihan Zhang 001; Wenhao Yu 002; Fangkai Jiao; Meng Jiang 001 (CoRR, 2024)

Large Language Models Can Self-Correct with Minimal Effort. - Zhenyu Wu 004; Qingkai Zeng 001; Zhihan Zhang 001; Zhaoxuan Tan; Chao Shen; Meng Jiang 001 (CoRR, 2024)

MathChat: Benchmarking Mathematical Reasoning and Instruction Following in Multi-Turn Interactions. - Zhenwen Liang; Dian Yu 001; Wenhao Yu 002; Wenlin Yao; Zhihan Zhang 001; Xiangliang Zhang 001; Dong Yu 001 (CoRR, 2024)

Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning. - Zhihan Zhang 001; Zhenwen Liang; Wenhao Yu 002; Dian Yu 001; Mengzhao Jia; Dong Yu 001; Meng Jiang 001 (CoRR, 2024)

BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions. - Terry Yue Zhuo; Minh Chien Vu; Jenny Chim; Han Hu; Wenhao Yu 002; Ratnadira Widyasari; Imam Nur Bani Yusuf; Haolan Zhan; Junda He; Indraneil Paul; Simon Brunner; Chen Gong 005; et al. (CoRR, 2024)

Enhancing Mathematical Reasoning in LLMs by Stepwise Correction. - Zhenyu Wu 004; Qingkai Zeng 001; Zhihan Zhang 001; Zhaoxuan Tan; Chao Shen; Meng Jiang 001 (ACL (1), 2025)

Aligning Large Language Models with Implicit Preferences from User-Generated Content. - Zhaoxuan Tan; Zheng Li 018; Tianyi Liu; Haodong Wang; Hyokun Yun; Ming Zeng 001; Pei Chen; Zhihan Zhang 001; Yifan Gao 001; Ruijie Wang 004; Priyanka Nigam; Bing Yin; et al. (ACL (1), 2025)

RepoGraph: Enhancing AI Software Engineering with Repository-level Code Graph. - Siru Ouyang; Wenhao Yu 002; Kaixin Ma; Zilin Xiao; Zhihan Zhang 001; Mengzhao Jia; Jiawei Han 001; Hongming Zhang 009; Dong Yu 001 (ICLR, 2025)

BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions. - Terry Yue Zhuo; Minh Chien Vu; Jenny Chim; Han Hu; Wenhao Yu 002; Ratnadira Widyasari; Imam Nur Bani Yusuf; Haolan Zhan; Junda He; Indraneil Paul; Simon Brunner; Chen Gong 005; et al. (ICLR, 2025)

ALERT: An LLM-powered Benchmark for Automatic Evaluation of Recommendation Explanations. - Yichuan Li 001; Xinyang Zhang 002; Chenwei Zhang; Mao Li; Tianyi Liu; Pei Chen; Yifan Gao 001; Kyumin Lee; Kaize Ding; Zhengyang Wang; Zhihan Zhang 001; Jingbo Shang; et al. (NAACL (Long Papers), 2025)

IHEval: Evaluating Language Models on Following the Instruction Hierarchy. - Zhihan Zhang 001; Shiyang Li; Zixuan Zhang; Xin Liu 039; Haoming Jiang; Xianfeng Tang; Yifan Gao 001; Zheng Li 018; Haodong Wang; Zhaoxuan Tan; Yichuan Li 001; Qingyu Yin; et al. (NAACL (Long Papers), 2025)

MultiChartQA: Benchmarking Vision-Language Models on Multi-Chart Problems. - Zifeng Zhu; Mengzhao Jia; Zhihan Zhang 001; Lang Li; Meng Jiang 001 (NAACL (Long Papers), 2025)

Leopard: A Vision Language Model for Text-Rich Multi- Image Tasks. - Mengzhao Jia; Wenhao Yu 002; Kaixin Ma; Tianqing Fang; Zhihan Zhang 001; Siru Ouyang; Hongming Zhang 009; Dong Yu 001; Meng Jiang 001 (Trans. Mach. Learn. Res., 2025)