Zonghai Yao

Orcid: 0000-0002-5707-8410

According to our database1, Zonghai Yao authored at least 25 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
JMLR: Joint Medical LLM and Retrieval Training for Enhancing Reasoning and Professional Question Answering Capability.
CoRR, 2024

SYNFAC-EDIT: Synthetic Imitation Edit Feedback for Factual Alignment in Clinical Summarization.
CoRR, 2024

LocalTweets to LocalHealth: A Mental Health Surveillance Framework Based on Twitter Data.
CoRR, 2024

2023
Automated identification of eviction status from electronic health record notes.
J. Am. Medical Informatics Assoc., July, 2023

EHR Interaction Between Patients and AI: NoteAid EHR Interaction.
CoRR, 2023

README: Bridging Medical Jargon and Lay Understanding for Patient Education through Data-Centric NLP.
CoRR, 2023

Do Physicians Know How to Prompt? The Need for Automatic Prompt Optimization Help in Clinical Note Generation.
CoRR, 2023

SELF-EXPLAIN: Teaching Large Language Models to Reason Complex Questions by Themselves.
CoRR, 2023

Synthetic Imitation Edit Feedback for Factual Alignment in Clinical Summarization.
CoRR, 2023

BioInstruct: Instruction Tuning of Large Language Models for Biomedical Natural Language Processing.
CoRR, 2023

EHRTutor: Enhancing Patient Understanding of Discharge Instructions.
CoRR, 2023

NoteChat: A Dataset of Synthetic Doctor-Patient Conversations Conditioned on Clinical Notes.
CoRR, 2023

PaniniQA: Enhancing Patient Education Through Interactive Question Answering.
CoRR, 2023

Controllable Video Generation by Learning the Underlying Dynamical System with Neural ODE.
CoRR, 2023

Improving Summarization with Human Edits.
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.
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?
Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

Multi-Label Few-Shot ICD Coding as Autoregressive Generation with Prompt.
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.
CoRR, 2022

MedJEx: A Medical Jargon Extraction Model with Wiki's Hyperlink Span and Contextualized Masked Language Model Score.
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.
Proceedings of the AMIA 2022, 2022

2021
Named Entity Location Prediction Combining Twitter and Web.
IEEE Trans. Knowl. Data Eng., 2021

Improving Formality Style Transfer with Context-Aware Rule Injection.
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.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

The impact of preprint servers in the formation of novel ideas.
Proceedings of the First Workshop on Scholarly Document Processing, 2020


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