| 2026 | AAAI | PRIME: Planning and Retrieval-Integrated Memory for Enhanced Reasoning. | Hieu Tran, Zonghai Yao, Nguyen Luong Tran, Zhichao Yang, Feiyun Ouyang, Shuo Han, Razieh Rahimi, Hong Yu |
| 2026 | AAAI | ChatCLIDS: Simulating Persuasive AI Dialogues to Promote Closed-Loop Insulin Adoption in Type 1 Diabetes Care. | Zonghai Yao, Talha Chafekar, Junda Wang, Shuo Han, Feiyun Ouyang, Junhui Qian, Lingxi Li, Hong Yu |
| 2026 | ACL | RiTeK: A Dataset for Large Language Models Complex Reasoning over Textual Knowledge Graphs in Medicine. | Jiatan Huang, Mingchen Li, Zonghai Yao, Dawei Li, Yuxin Zhang, Zhichao Yang, Yongkang Xiao, Feiyun Ouyang, Xiaohan Li, Shuo Han, Hong Yu |
| 2026 | ACL | Efficient and Effective Internal Memory Retrieval for LLM-Based Healthcare Prediction. | Mingchen Li, Jiatan Huang, Zonghai Yao, Hong Yu |
| 2026 | ACL | Exploiting Tree Structure for Credit Assignment in Reinforcement Learning with Large Language Models. | Hieu Tran, Zonghai Yao, Hong Yu |
| 2026 | ACL | LLM-Based Multi-Agent Systems for Clinical Workflows: A Survey of AI Hospitals. | Zonghai Yao, Hong Yu |
| 2026 | EACL | Knowing When to Abstain: Medical LLMs Under Clinical Uncertainty. | Sravanthi Machcha, Sushrita Yerra, Sahil Gupta, Aishwarya Sahoo, Sharmin Sultana, Hong Yu, Zonghai Yao |
| 2026 | EACL | MedQA-CS: Objective Structured Clinical Examination (OSCE)-Style Benchmark for Evaluating LLM Clinical Skills. | Zonghai Yao, Zihao Zhang, Chaolong Tang, Xingyu Bian, Youxia Zhao, Zhichao Yang, Junda Wang, Huixue Zhou, Won Seok Jang, Feiyun Ouyang, Hong Yu |
| 2025 | ACL | RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models. | Hieu Tran, Zonghai Yao, Zhichao Yang, Junda Wang, Yifan Zhang, Shuo Han, Feiyun Ouyang, Hong Yu |
| 2025 | EMNLP | Chatbot To Help Patients Understand Their Health. | Won Seok Jang, Hieu Tran, Manav Mistry, SaiKiran Gandluri, Yifan Zhang, Sharmin Sultana, Sunjae Kwon, Yuan Zhang, Zonghai Yao, Hong Yu |
| 2025 | EMNLP | MedCOD: Enhancing English-to-Spanish Medical Translation of Large Language Models Using Enriched Chain-of-Dictionary Framework. | Md. Shahidul Salim, Lian Fu, Arav Adikesh Ramakrishnan, Zonghai Yao, Hong Yu |
| 2025 | EMNLP | From Scores to Steps: Diagnosing and Improving LLM Performance in Evidence-Based Medical Calculations. | Benlu Wang, Iris Xia, Yifan Zhang, Junda Wang, Feiyun Ouyang, Shuo Han, Arman Cohan, Hong Yu, Zonghai Yao |
| 2025 | EMNLP | DischargeSim: A Simulation Benchmark for Educational Doctor-Patient Communication at Discharge. | Zonghai Yao, Michael Sun, Won Seok Jang, Sunjae Kwon, Soie Kwon, Hong Yu |
| 2025 | NAACL | MCQG-SRefine: Multiple Choice Question Generation and Evaluation with Iterative Self-Critique, Correction, and Comparison Feedback. | Zonghai Yao, Aditya Parashar, Huixue Zhou, Won Seok Jang, Feiyun Ouyang, Zhichao Yang, Hong Yu |
| 2024 | ACL | NoteChat: A Dataset of Synthetic Patient-Physician Conversations Conditioned on Clinical Notes. | Junda Wang, Zonghai Yao, Zhichao Yang, Huixue Zhou, Rumeng Li, Xun Wang, Yucheng Xu, Hong Yu |
| 2024 | COLING | LocalTweets to LocalHealth: A Mental Health Surveillance Framework Based on Twitter Data. | Vijeta Deshpande, Minhwa Lee, Zonghai Yao, Zihao Zhang, Jason Brian Gibbons, Hong Yu |
| 2024 | EMNLP | SYNFAC-EDIT: Synthetic Imitation Edit Feedback for Factual Alignment in Clinical Summarization. | Prakamya Mishra, Zonghai Yao, Parth Vashisht, Feiyun Ouyang, Beining Wang, Vidhi Dhaval Mody, Hong Yu |
| 2024 | EMNLP | README: Bridging Medical Jargon and Lay Understanding for Patient Education through Data-Centric NLP. | Zonghai Yao, Nandyala Siddharth Kantu, Guanghao Wei, Hieu Tran, Zhangqi Duan, Sunjae Kwon, Zhichao Yang, README annotation team, Hong Yu |
| 2024 | EMNLP | Large Language Models are In-context Teachers for Knowledge Reasoning. | Jiachen Zhao, Zonghai Yao, Zhichao Yang, Hong Yu |
| 2024 | ICRA | TiV-ODE: A Neural ODE-based Approach for Controllable Video Generation From Text-Image Pairs. | Yucheng Xu, Nanbo Li, Arushi Goel, Zonghai Yao, Zijian Guo, Hamidreza Kasaei, Mohammadreza Kasaei, Zhibin Li |
| 2023 | AAAI | Multi-Label Few-Shot ICD Coding as Autoregressive Generation with Prompt. | Zhichao Yang, Sunjae Kwon, Zonghai Yao, Hong Yu |
| 2023 | ACL | Revisiting the Architectures like Pointer Networks to Efficiently Improve the Next Word Distribution, Summarization Factuality, and Beyond. | Haw-Shiuan Chang, Zonghai Yao, Alolika Gon, Hong Yu, Andrew McCallum |
| 2023 | EMNLP | Improving Summarization with Human Edits. | Zonghai Yao, Benjamin J. Schloss, Sai P. Selvaraj |
| 2022 | AMIA | Extracting Biomedical Factual Knowledge Using Pretrained Language Model and Electronic Health Record Context. | Zonghai Yao, Yi Cao, Zhichao Yang, Vijeta Deshpande, Hong Yu |
| 2022 | EMNLP | MedJEx: A Medical Jargon Extraction Model with Wiki's Hyperlink Span and Contextualized Masked Language Model Score. | Sunjae Kwon, Zonghai Yao, Harmon S. Jordan, David A. Levy, Brian Corner, Hong Yu |
| 2021 | ACL | Improving Formality Style Transfer with Context-Aware Rule Injection. | Zonghai Yao, Hong Yu |
| 2020 | EMNLP | The impact of preprint servers in the formation of novel ideas. | Swarup Satish, Zonghai Yao, Andrew Drozdov, Boris Veytsman |
| 2020 | EMNLP | Zero-shot Entity Linking with Efficient Long Range Sequence Modeling. | Zonghai Yao, Liangliang Cao, Huapu Pan |