| 2026 | AAAI | Beyond Step Pruning: Information Theory Based Step-level Optimization for Self-Refining Large Language Models. | Jinman Zhao, Erxue Min, Hui Wu, Ziheng Li, Zexu Sun, Hengyi Cai, Shuaiqiang Wang, Xu Chen, Gerald Penn |
| 2026 | ACL | Fin-Bias: Comprehensive Evaluation for LLM Decision-Making under human bias in Finance Domain. | Xiaoyu Hu, Jinman Zhao |
| 2026 | ACL | On the Representation Geometry of LoRA Model Merging. | Chenyang Lu, Jiaru Li, Jinman Zhao, Xinran Chen, Yining Wang, Renyi Cai, Yuchen Li, Chao He |
| 2026 | ACL | CodeHacker: Automated Test Case Generation for Detecting Vulnerabilities in Competitive Programming Solutions. | Jingwei Shi, Xinxiang Yin, Jing Huang, Shengyu Tao, Jinman Zhao |
| 2026 | WWW | The More You Say, the More You Risk: Ethical Concerns in Large Language Model Reasoning Frameworks. | Jinman Zhao, Linbo Cao, Xueyan Zhang, Ken Shi, Yining Wang, Gerald Penn |
| 2025 | ACL | PreP-OCR: A Complete Pipeline for Document Image Restoration and Enhanced OCR Accuracy. | Shuhao Guan, Moule Lin, Cheng Xu, Xinyi Liu, Jinman Zhao, Jiexin Fan, Qi Xu, Derek Greene |
| 2025 | ACL | LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models. | Zhiyuan Hu, Yuliang Liu, Jinman Zhao, Suyuchen Wang, WangYan WangYan, Wei Shen, Qing Gu, Anh Tuan Luu, See-Kiong Ng, Zhiwei Jiang, Bryan Hooi |
| 2025 | ACL | UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter Efficient Fine-Tuning of Large Models. | Xueyan Zhang, Jinman Zhao, Zhifei Yang, Yibo Zhong, Shuhao Guan, Linbo Cao, Yining Wang |
| 2025 | ACL | Low-Rank Interconnected Adaptation across Layers. | Yibo Zhong, Jinman Zhao, Yao Zhou |
| 2025 | COLING | Inside-Outside Algorithm for Probabilistic Product-Free Lambek Categorial Grammar. | Jinman Zhao, Gerald Penn |
| 2025 | EMNLP | Tiny Budgets, Big Gains: Parameter Placement Strategy in Parameter Super-Efficient Fine-Tuning. | Jinman Zhao, Xueyan Zhang, Jiaru Li, Jingcheng Niu, Yulan Hu, Erxue Min, Gerald Penn |
| 2025 | NAACL | Sequence-level Large Language Model Training with Contrastive Preference Optimization. | Zhili Feng, Dhananjay Ram, Cole Hawkins, Aditya Rawal, Jinman Zhao, Sheng Zha |
| 2024 | ACL | Fine-tuning Language Models for Joint Rewriting and Completion of Code with Potential Bugs. | Dingmin Wang, Jinman Zhao, Hengzhi Pei, Samson Tan, Sheng Zha |
| 2024 | COLING | A Generative Model for Lambek Categorial Sequents. | Jinman Zhao, Gerald Penn |
| 2024 | EMNLP | LLM-supertagger: Categorial Grammar Supertagging via Large Language Models. | Jinman Zhao, Gerald Penn |
| 2023 | AAAI | Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion. | Hengzhi Pei, Jinman Zhao, Leonard Lausen, Sheng Zha, George Karypis |
| 2021 | ICSE | Code Prediction by Feeding Trees to Transformers. | Seohyun Kim, Jinman Zhao, Yuchi Tian, Satish Chandra |
| 2020 | EMNLP | PBoS: Probabilistic Bag-of-Subwords for Generalizing Word Embedding. | Jinman Zhao, Shawn Zhong, Xiaomin Zhang, Yingyu Liang |
| 2018 | EMNLP | Generalizing Word Embeddings using Bag of Subwords. | Jinman Zhao, Sidharth Mudgal, Yingyu Liang |