Publications

(* means equal contribution)

For the up-to-date publication information, please check out my Google Scholar page.

[20] Mengzhao Jia, Zhihan Zhang, Wenhao Yu, Fangkai Jiao, Meng Jiang. Describe-then-Reason: Improving Multimodal Mathematical Reasoning through Visual Comprehension Training. ArXiv preprint 2404.14604, 2024. [paper]

[19] 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. ArXiv preprint 2402.07386, 2024. [paper]

[18] Zhihan Zhang, Dong-Ho Lee, Yuwei Fang, Wenhao Yu, Mengzhao Jia, Meng Jiang, Francesco Barbieri. PLUG: Leveraging Pivot Language in Cross-Lingual Instruction Tuning. In Proceedings of the 62th Annual Meeting of the Association for Computational Linguistics (ACL), 2024. [paper] [code]

[17] 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. In Findings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023. [paper] [code] [poster]

[16] Mengxia Yu, Zhihan Zhang, Wenhao Yu, Meng Jiang. Pre-training Language Models for Comparative Reasoning. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023. [paper]

[15] Wenhao Yu, Zhihan Zhang, Zhenwen Liang, Meng Jiang, Ashish Sabharwal. Improving Language Models via Plug-and-Play Retrieval Feedback. ArXiv preprint 2305.14002, 2023. [paper]

[14] Noah Ziems, Wenhao Yu, Zhihan Zhang, Meng Jiang. Large Language Models are Built-in Autoregressive Search Engines. In Findings of the Association for Computational Linguistics (ACL), 2023. [paper] [code]

[13] Zhihan Zhang, Wenhao Yu, Zheng Ning, Mingxuan Ju, Meng Jiang. Exploring Contrast Consistency of Open-Domain Question Answering Systems on Minimally Edited Questions. In Transactions of the Association for Computational Linguistics (TACL), 2023. [paper] [code] [video] [poster]

[12] 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. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2023. [paper] [video] [poster]

[11] Zhihan Zhang, Wenhao Yu, Chenguang Zhu, Meng Jiang. A Unified Encoder-Decoder Framework with Entity Memory. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022. [paper] [code] [video] [poster]

[10] Wenhao Yu, Chenguang Zhu, Zhihan Zhang, Shuohang Wang, Zhuosheng Zhang, Yuwei Fang, Meng Jiang. Retrieval Augmentation for Commonsense Reasoning: A Unified Approach. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022. [paper] [code]

[9] Gang Liu, Zhihan Zhang, Zheng Ning, Meng Jiang. On the Relationship between Counterfactual Explainer and Recommender: A Framework and Preliminary Observations. In KDD Workshop on Data Science and Artificial Intelligence for Responsible Recommendations (KDD-DS4RRS), 2022. [paper]

[8] Wenhao Yu, Chenguang Zhu, Lianhui Qin, Zhihan Zhang, Tong Zhao, Meng Jiang. Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts. In Findings of the Association for Computational Linguistics (ACL), 2022. [paper] [code]

[7] 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. In IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021. [paper]

[6] Zhihan Zhang, Xiubo Geng, Tao Qin, Yunfang Wu, Daxin Jiang. Knowledge-Aware Procedural Text Understanding with Multi-Stage Training. In Proceedings of The Web Conference (WWW), 2021. [paper] [video] [code]

[5] Qian Liu, Jie Lu, Guangquan Zhang, Tao Shen, Zhihan Zhang, Heyan Huang. Domain-Specific Meta-Embedding with Latent Semantic Structures. In Information Sciences, 2020. [paper]

[4] Zhihan Zhang, Zhiyi Yin, Shuhuai Ren, Xinhang Li, Shicheng Li. DCA: Diversified Co-Attention towards Informative Live Video Commenting. In CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC), 2020. [paper]

[3] Daheng Wang, Zhihan Zhang, Yihong Ma, Tong Zhao, Tianwen Jiang, Nitesh V. Chawla, Meng Jiang. Learning Attribute-Structure Co-Evolutions in Dynamic Graphs. In KDD Workshop on Deep Learning on Graphs: Methods and Applications (KDD-DLG), 2020. (Best Paper Award) [paper] [code]

[2] Tianwen Jiang*, Zhihan Zhang*, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang. CTGA: Graph-based Biomedical Literature Search. In IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019. [paper]

[1] Pengcheng Yang*, Zhihan Zhang*, Fuli Luo, Lei Li, Chengyang Huang, Xu Sun. Cross-Modal Commentator: Automatic Machine Commenting Based on Cross-Modal Information. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), 2019. [paper] [video] [code]