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
MCQG-SRefine: Multiple Choice Question Generation and Evaluation with Iterative Self-Critique, Correction, and Comparison Feedback.
CoRR, 2024
Blocks Architecture (BloArk): Efficient, Cost-Effective, and Incremental Dataset Architecture for Wikipedia Revision History.
CoRR, 2024
CS4: Measuring the Creativity of Large Language Models Automatically by Controlling the Number of Story-Writing Constraints.
CoRR, 2024
MedQA-CS: Benchmarking Large Language Models Clinical Skills Using an AI-SCE Framework.
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CoRR, 2024
Large Language Model-based Role-Playing for Personalized Medical Jargon Extraction.
CoRR, 2024
ReadCtrl: Personalizing text generation with readability-controlled instruction learning.
CoRR, 2024
JMLR: Joint Medical LLM and Retrieval Training for Enhancing Reasoning and Professional Question Answering Capability.
CoRR, 2024
TiV-ODE: A Neural ODE-based Approach for Controllable Video Generation From Text-Image Pairs.
Proceedings of the IEEE International Conference on Robotics and Automation, 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
SYNFAC-EDIT: Synthetic Imitation Edit Feedback for Factual Alignment in Clinical Summarization.
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.
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.
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
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
Automated identification of eviction status from electronic health record notes.
J. Am. Medical Informatics Assoc., July, 2023
PaniniQA: Enhancing Patient Education Through Interactive Question Answering.
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Trans. Assoc. Comput. Linguistics, 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
EHRTutor: Enhancing Patient Understanding of Discharge Instructions.
CoRR, 2023
NoteChat: A Dataset of Synthetic Doctor-Patient Conversations Conditioned on Clinical Notes.
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
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
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
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