Zonghai Yao

According to our database, Zonghai Yao authored at least 36 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

BioInstruct: instruction tuning of large language models for biomedical natural language processing.

Hieu Tran, Zhichao Yang, Zonghai Yao, Hong Yu

J. Am. Medical Informatics Assoc., 2024

Blocks Architecture (BloArk): Efficient, Cost-Effective, and Incremental Dataset Architecture for Wikipedia Revision History.

Lingxi Li, Zonghai Yao, Sunjae Kwon, Hong Yu

CoRR, 2024

CS4: Measuring the Creativity of Large Language Models Automatically by Controlling the Number of Story-Writing Constraints.

Anirudh Atmakuru, Jatin Nainani, Rohith Siddhartha Reddy Bheemreddy, Anirudh Lakkaraju, Zonghai Yao, Hamed Zamani, Haw-Shiuan Chang

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, Junda Wang, Huixue Zhou, Won Seok Jang, Feiyun Ouyang, Hong Yu

CoRR, 2024

Large Language Model-based Role-Playing for Personalized Medical Jargon Extraction.

Jung Hoon Lim, Sunjae Kwon, Zonghai Yao, John P. Lalor, Hong Yu

CoRR, 2024

ReadCtrl: Personalizing text generation with readability-controlled instruction learning.

Hieu Tran, Zonghai Yao, Lingxi Li, Hong Yu

CoRR, 2024

JMLR: Joint Medical LLM and Retrieval Training for Enhancing Reasoning and Professional Question Answering Capability.

Junda Wang, Zhichao Yang, Zonghai Yao, Hong Yu

CoRR, 2024

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

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Large Language Models are In-context Teachers for Knowledge Reasoning.

Jiachen Zhao, Zonghai Yao, Zhichao Yang, Hong Yu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 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, Hong Yu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 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, Hong Yu

Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, 2024

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

Proceedings of the Findings of the Association for Computational Linguistics, 2024

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, Sunjae Kwon, Junda Wang, Hong Yu

Proceedings of the 6th Clinical Natural Language Processing Workshop, 2024

2023

Automated identification of eviction status from electronic health record notes.

Zonghai Yao, Jack Tsai, Weisong Liu, David A. Levy, Emily Druhl, Joel I. Reisman, Hong Yu

J. Am. Medical Informatics Assoc., July, 2023

PaniniQA: Enhancing Patient Education Through Interactive Question Answering.

Pengshan Cai, Zonghai Yao, Fei Liu, Dakuo Wang, Meghan Reilly, Huixue Zhou, Lingxi Li, Yi Cao, Alok Kapoor, Adarsha Bajracharya, Dan Berlowitz, Hong Yu

Trans. Assoc. Comput. Linguistics, 2023

EHR Interaction Between Patients and AI: NoteAid EHR Interaction.

Xiaocheng Zhang, Zonghai Yao, Hong Yu

CoRR, 2023

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

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, Hong Yu

CoRR, 2023

SELF-EXPLAIN: Teaching Large Language Models to Reason Complex Questions by Themselves.

Jiachen Zhao, Zonghai Yao, Zhichao Yang, Hong Yu

CoRR, 2023

Synthetic Imitation Edit Feedback for Factual Alignment in Clinical Summarization.

Prakamya Mishra, Zonghai Yao, Shuwei Chen, Beining Wang, Rohan Mittal, Hong Yu

CoRR, 2023

EHRTutor: Enhancing Patient Understanding of Discharge Instructions.

Zihao Zhang, Zonghai Yao, Huixue Zhou, Feiyun Ouyang, Hong Yu

CoRR, 2023

NoteChat: A Dataset of Synthetic Doctor-Patient Conversations Conditioned on Clinical Notes.

Junda Wang, Zonghai Yao, Zhichao Yang, Huixue Zhou, Rumeng Li, Xun Wang, Yucheng Xu, Hong Yu

CoRR, 2023

Controllable Video Generation by Learning the Underlying Dynamical System with Neural ODE.

Yucheng Xu, Nanbo Li, Arushi Goel, Zijian Guo, Zonghai Yao, Hamidreza Kasaei, Mohammadreza Kasaei, Zhibin Li

CoRR, 2023

Improving Summarization with Human Edits.

Zonghai Yao, Benjamin J. Schloss, Sai P. Selvaraj

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

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

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 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, Hong Yu

Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

Multi-Label Few-Shot ICD Coding as Autoregressive Generation with Prompt.

Zhichao Yang, Sunjae Kwon, Zonghai Yao, Hong Yu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Context Variance Evaluation of Pretrained Language Models for Prompt-based Biomedical Knowledge Probing.

Zonghai Yao, Yi Cao, Zhichao Yang, Hong Yu

CoRR, 2022

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

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Extracting Biomedical Factual Knowledge Using Pretrained Language Model and Electronic Health Record Context.

Zonghai Yao, Yi Cao, Zhichao Yang, Vijeta Deshpande, Hong Yu

Proceedings of the AMIA 2022, 2022

2021

Named Entity Location Prediction Combining Twitter and Web.

Yinan Liu, Wei Shen, Zonghai Yao, Jianyong Wang, Zhenglu Yang, Xiaojie Yuan

IEEE Trans. Knowl. Data Eng., 2021

Improving Formality Style Transfer with Context-Aware Rule Injection.

Zonghai Yao, Hong Yu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Zero-shot Entity Linking with Efficient Long Range Sequence Modeling.

Zonghai Yao, Liangliang Cao, Huapu Pan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

The impact of preprint servers in the formation of novel ideas.

Swarup Satish, Zonghai Yao, Andrew Drozdov, Boris Veytsman

Proceedings of the First Workshop on Scholarly Document Processing, 2020