Word Embedding Perturbation for Sentence Classification. - Dongxu Zhang; Zhichao Yang 001 (CoRR, 2018)

Generating Classical Chinese Poems from Vernacular Chinese. - Zhichao Yang 001; Pengshan Cai; Yansong Feng 002; Fei Li 021; Weijiang Feng; Elena Suet-Ying Chiu; Hong Yu 001 (EMNLP/IJCNLP (1), 2019)

Computer-aided industrial development path optimization: a case from "Optics Valley of China". - Qing Yang 013; Ling He; Xingxing Liu; Zhichao Yang 001 (Clust. Comput., 2019)

Generating Accurate EHR Assessment from Medical Graph. - Zhichao Yang 001; Hong Yu 001 (EMNLP (Findings), 2020)

Extracting Biomedical Factual Knowledge Using Pretrained Language Model and Electronic Health Record Context. - Zonghai Yao; Yi Cao; Zhichao Yang 001; Vijeta Deshpande; Hong Yu 001 (AMIA, 2022)

Knowledge Injected Prompt Based Fine-tuning for Multi-label Few-shot ICD Coding. - Zhichao Yang 001; Shufan Wang; Bhanu Pratap Singh Rawat; Avijit Mitra; Hong Yu 001 (EMNLP (Findings), 2022)

Context Variance Evaluation of Pretrained Language Models for Prompt-based Biomedical Knowledge Probing. - Zonghai Yao; Yi Cao; Zhichao Yang 001; Hong Yu 001 (CoRR, 2022)

An Automatic SOAP Classification System Using Weakly Supervision And Transfer Learning. - Sunjae Kwon; Zhichao Yang 001; Hong Yu 001 (CoRR, 2022)

Associations Between Natural Language Processing (NLP) Enriched Social Determinants of Health and Suicide Death among US Veterans. - Avijit Mitra; Richeek Pradhan; Rachel D. Melamed; Kun Chen; David C. Hoaglin; Katherine L. Tucker; Joel I. Reisman; Zhichao Yang 001; Weisong Liu; Jack Tsai; Hong Yu 001 (CoRR, 2022)

Enhancing the prediction of disease outcomes using electronic health records and pretrained deep learning models. - Zhichao Yang 001; Weisong Liu; Dan Berlowitz; Hong Yu 001 (CoRR, 2022)

Multi-Label Few-Shot ICD Coding as Autoregressive Generation with Prompt. - Zhichao Yang 001; Sunjae Kwon; Zonghai Yao; Hong Yu 001 (AAAI, 2023)

UMASS_BioNLP at MEDIQA-Chat 2023: Can LLMs generate high-quality synthetic note-oriented doctor-patient conversations? - Junda Wang; Zonghai Yao; Avijit Mitra; Samuel Osebe; Zhichao Yang 001; Hong Yu 001 (ClinicalNLP@ACL, 2023)

Vision Meets Definitions: Unsupervised Visual Word Sense Disambiguation Incorporating Gloss Information. - Sunjae Kwon; Rishabh Garodia; Minhwa Lee; Zhichao Yang 001; Hong Yu 001 (ACL (1), 2023)

Interpretable Math Word Problem Solution Generation via Step-by-step Planning. - Mengxue Zhang; Zichao Wang 001; Zhichao Yang 001; Weiqi Feng; Andrew S. Lan (ACL (1), 2023)

NoteChat: A Dataset of Synthetic Doctor-Patient Conversations Conditioned on Clinical Notes. - Junda Wang; Zonghai Yao; Zhichao Yang 001; Huixue Zhou; Rumeng Li; Xun Wang; Yucheng Xu; Hong Yu 001 (CoRR, 2023)

SELF-EXPLAIN: Teaching Large Language Models to Reason Complex Questions by Themselves. - Jiachen Zhao; Zonghai Yao; Zhichao Yang 001; Hong Yu 001 (CoRR, 2023)

Do Physicians Know How to Prompt? The Need for Automatic Prompt Optimization Help in Clinical Note Generation. - Zonghai Yao; Ahmed Jaafar; Beining Wang; Yue Zhu; Zhichao Yang 001; Hong Yu 001 (CoRR, 2023)

Surpassing GPT-4 Medical Coding with a Two-Stage Approach. - Zhichao Yang 001; Sanjit Singh Batra; Joel Stremmel; Eran Halperin (CoRR, 2023)

UMass-BioNLP at MEDIQA-M3G 2024: DermPrompt - A Systematic Exploration of Prompt Engineering with GPT-4V for Dermatological Diagnosis. - Parth Vashisht; Abhilasha Lodha; Mukta Maddipatla; Zonghai Yao; Avijit Mitra; Zhichao Yang 001; Sunjae Kwon; Junda Wang; Hong Yu 001 (ClinicalNLP@NAACL, 2024)

ClinicalMamba: A Generative Clinical Language Model on Longitudinal Clinical Notes. - Zhichao Yang 001; Avijit Mitra; Sunjae Kwon; Hong Yu 001 (ClinicalNLP@NAACL, 2024)

NoteChat: A Dataset of Synthetic Patient-Physician Conversations Conditioned on Clinical Notes. - Junda Wang; Zonghai Yao; Zhichao Yang 001; Huixue Zhou; Rumeng Li; Xun Wang; Yucheng Xu; Hong Yu 001 (ACL (Findings), 2024)

Do Clinicians Know How to Prompt? The Need for Automatic Prompt Optimization Help in Clinical Note Generation. - Zonghai Yao; Ahmed Jaafar; Beining Wang; Zhichao Yang 001; Hong Yu 001 (BioNLP@ACL, 2024)

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 001; README annotation team; Hong Yu 001 (EMNLP (Findings), 2024)

Large Language Models are In-context Teachers for Knowledge Reasoning. - Jiachen Zhao; Zonghai Yao; Zhichao Yang 001; Hong Yu 001 (EMNLP (Findings), 2024)

JMLR: Joint Medical LLM and Retrieval Training for Enhancing Reasoning and Professional Question Answering Capability. - Junda Wang; Zhichao Yang 001; Zonghai Yao; Hong Yu 001 (CoRR, 2024)

MedQA-CS: Benchmarking Large Language Models Clinical Skills Using an AI-SCE Framework. - Zonghai Yao; Zihao Zhang; Chaolong Tang; Xingyu Bian; Youxia Zhao; Zhichao Yang 001; Junda Wang; Huixue Zhou; Won Seok Jang; Feiyun Ouyang; Hong Yu 001 (CoRR, 2024)

RiTeK: A Dataset for Large Language Models Complex Reasoning over Textual Knowledge Graphs. - Jiatan Huang; Mingchen Li; Zonghai Yao; Zhichao Yang 001; Yongkang Xiao; Feiyun Ouyang; Xiaohan Li; Shuo Han; Hong Yu 001 (CoRR, 2024)

RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models. - Hieu Tran; Zonghai Yao; Junda Wang; Yifan Zhang; Zhichao Yang 001; Hong Yu 001 (CoRR, 2024)

BioInstruct: instruction tuning of large language models for biomedical natural language processing. - Hieu Tran; Zhichao Yang 001; Zonghai Yao; Hong Yu 001 (J. Am. Medical Informatics Assoc., 2024)

RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models. - Hieu Tran; Zonghai Yao; Zhichao Yang 001; Junda Wang; Yifan Zhang; Shuo Han; Feiyun Ouyang; Hong Yu 001 (ACL (1), 2025)

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 001; Hong Yu 001 (NAACL (Long Papers), 2025)

Enhancing LLMs for Identifying and Prioritizing Important Medical Jargons from Electronic Health Record Notes Utilizing Data Augmentation. - Won Seok Jang; Sharmin Sultana; Zonghai Yao; Hieu Tran; Zhichao Yang 001; Sunjae Kwon; Hong Yu 001 (CoRR, 2025)