Zhichao Yang

Orcid: 0000-0002-2797-4257

Affiliations:
  • University of Massachusetts Amherst, MA, USA


According to our database1, Zhichao Yang authored at least 43 papers between 2018 and 2026.

Collaborative distances:

Timeline

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Bibliography

2026
MedicalBench: Evaluating Large Language Models Toward Improved Medical Concept Extraction.
CoRR, May, 2026

MedFabric and EtHER: A Data-Centric Framework for Word-Level Fabrication Generation and Detection in Medical LLMs.
CoRR, May, 2026

Medical thinking with multiple images.
CoRR, April, 2026

TARSE: Test-Time Adaptation via Retrieval of Skills and Experience for Reasoning Agents.
CoRR, March, 2026

Fast and Effective On-policy Distillation from Reasoning Prefixes.
CoRR, February, 2026

ESTAR: Early-Stopping Token-Aware Reasoning For Efficient Inference.
CoRR, February, 2026

Health-SCORE: Towards Scalable Rubrics for Improving Health-LLMs.
CoRR, January, 2026

MedQA-CS: Objective Structured Clinical Examination (OSCE)-Style Benchmark for Evaluating LLM Clinical Skills.
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

PRIME: Planning and Retrieval-Integrated Memory for Enhanced Reasoning.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
ChatThero: An LLM-Supported Chatbot for Behavior Change and Therapeutic Support in Addiction Recovery.
CoRR, August, 2025

Enhancing LLMs for Identifying and Prioritizing Important Medical Jargons from Electronic Health Record Notes Utilizing Data Augmentation.
CoRR, February, 2025

MCQG-SRefine: Multiple Choice Question Generation and Evaluation with Iterative Self-Critique, Correction, and Comparison Feedback.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Synth-SBDH: A Synthetic Dataset of Social and Behavioral Determinants of Health for Clinical Text.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
BioInstruct: instruction tuning of large language models for biomedical natural language processing.
J. Am. Medical Informatics Assoc., 2024

RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models.
CoRR, 2024

RiTeK: A Dataset for Large Language Models Complex Reasoning over Textual Knowledge Graphs.
CoRR, 2024

MedQA-CS: Benchmarking Large Language Models Clinical Skills Using an AI-SCE Framework.
CoRR, 2024

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

Large Language Models are In-context Teachers for Knowledge Reasoning.
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.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Do Clinicians Know How to Prompt? The Need for Automatic Prompt Optimization Help in Clinical Note Generation.
Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, 2024

NoteChat: A Dataset of Synthetic Patient-Physician Conversations Conditioned on Clinical Notes.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

ClinicalMamba: A Generative Clinical Language Model on Longitudinal Clinical Notes.
Proceedings of the 6th Clinical Natural Language Processing Workshop, 2024

UMass-BioNLP at MEDIQA-M3G 2024: DermPrompt - A Systematic Exploration of Prompt Engineering with GPT-4V for Dermatological Diagnosis.
Proceedings of the 6th Clinical Natural Language Processing Workshop, 2024

2023
Surpassing GPT-4 Medical Coding with a Two-Stage Approach.
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

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

Interpretable Math Word Problem Solution Generation via Step-by-step Planning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Vision Meets Definitions: Unsupervised Visual Word Sense Disambiguation Incorporating Gloss Information.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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
Enhancing the prediction of disease outcomes using electronic health records and pretrained deep learning models.
CoRR, 2022

Associations Between Natural Language Processing (NLP) Enriched Social Determinants of Health and Suicide Death among US Veterans.
CoRR, 2022

An Automatic SOAP Classification System Using Weakly Supervision And Transfer Learning.
CoRR, 2022

Context Variance Evaluation of Pretrained Language Models for Prompt-based Biomedical Knowledge Probing.
CoRR, 2022

Knowledge Injected Prompt Based Fine-tuning for Multi-label Few-shot ICD Coding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Extracting Biomedical Factual Knowledge Using Pretrained Language Model and Electronic Health Record Context.
Proceedings of the AMIA 2022, 2022

2020
Generating Accurate EHR Assessment from Medical Graph.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019
Computer-aided industrial development path optimization: a case from "Optics Valley of China".
Clust. Comput., 2019

Generating Classical Chinese Poems from Vernacular Chinese.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
Word Embedding Perturbation for Sentence Classification.
CoRR, 2018


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