Image de couverture de livre

Adapting Biomedical Abstracts into Plain language using Large Language Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Gangavarapu, Haritha, Ramachandran, Giridhar Kaushik, Lybarger, Kevin, Yetisgen, Meliha, Uzuner, Özlem
Format:	Preprint
Publié:	2025
Sujets:	Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Identifying Imaging Follow-Up in Radiology Reports: A Comparative Analysis of Traditional ML and LLM Approaches
par: Park, Namu, et autres
Publié: (2025)

BioMistral-NLU: Towards More Generalizable Medical Language Understanding through Instruction Tuning
par: Fu, Yujuan Velvin, et autres
Publié: (2024)

A Novel Corpus of Annotated Medical Imaging Reports and Information Extraction Results Using BERT-based Language Models
par: Park, Namu, et autres
Publié: (2024)

CACER: Clinical Concept Annotations for Cancer Events and Relations
par: Fu, Yujuan, et autres
Publié: (2024)

Extracting Social Determinants of Health from Pediatric Patient Notes Using Large Language Models: Novel Corpus and Methods
par: Fu, Yujuan, et autres
Publié: (2024)

A Systematic Analysis of Large Language Models with RAG-enabled Dynamic Prompting for Medical Error Detection and Correction
par: Ahmed, Farzad, et autres
Publié: (2025)

Does Data Contamination Detection Work (Well) for LLMs? A Survey and Evaluation on Detection Assumptions
par: Fu, Yujuan, et autres
Publié: (2024)

Spurious Correlations and Beyond: Understanding and Mitigating Shortcut Learning in SDOH Extraction with Large Language Models
par: Sakib, Fardin Ahsan, et autres
Publié: (2025)

Automated Identification of Incidentalomas Requiring Follow-Up: A Multi-Anatomy Evaluation of LLM-Based and Supervised Approaches
par: Park, Namu, et autres
Publié: (2025)

A Scoping Review of Natural Language Processing in Addressing Medically Inaccurate Information: Errors, Misinformation, and Hallucination
par: Sun, Zhaoyi, et autres
Publié: (2025)

Large Language Model-Based Agents for Automated Research Reproducibility: An Exploratory Study in Alzheimer's Disease
par: Dobbins, Nic, et autres
Publié: (2025)

Prompting Large Language Models to Detect Dementia Family Caregivers
par: Biswas, Md Badsha, et autres
Publié: (2025)

RadTimeline: Timeline Summarization for Longitudinal Radiological Lung Findings
par: Zhou, Sitong, et autres
Publié: (2026)

Assessing Large Language Models for Structured Medical Order Extraction
par: Karim, A H M Rezaul, et autres
Publié: (2025)

Retrieval-Augmented Large Language Models for Schema-Constrained Clinical Information Extraction
par: Karim, A H M Rezaul, et autres
Publié: (2026)

Multimodal Retrieval-Augmented Generation with Large Language Models for Medical VQA
par: Karim, A H M Rezaul, et autres
Publié: (2025)

Introducing L2M3, A Multilingual Medical Large Language Model to Advance Health Equity in Low-Resource Regions
par: Gangavarapu, Agasthya
Publié: (2024)

Contradiction to Consensus: Dual Perspective, Multi Source Retrieval Based Claim Verification with Source Level Disagreement using LLM
par: Biswas, Md Badsha, et autres
Publié: (2026)

Large Language Model Capabilities in Perioperative Risk Prediction and Prognostication
par: Chung, Philip, et autres
Publié: (2024)

IMAS: A Comprehensive Agentic Approach to Rural Healthcare Delivery
par: Gangavarapu, Agasthya, et autres
Publié: (2024)

Lessons from the TREC Plain Language Adaptation of Biomedical Abstracts (PLABA) track
par: Ondov, Brian, et autres
Publié: (2025)

Automated Triaging and Transfer Learning of Incident Learning Safety Reports Using Large Language Representational Models
par: Beidler, Peter, et autres
Publié: (2025)

Modeling and Predicting Multi-Turn Answer Instability in Large Language Models
par: He, Jiahang, et autres
Publié: (2025)

Investigating Large Language Models and Control Mechanisms to Improve Text Readability of Biomedical Abstracts
par: Li, Zihao, et autres
Publié: (2023)

PlainQAFact: Retrieval-augmented Factual Consistency Evaluation Metric for Biomedical Plain Language Summarization
par: You, Zhiwen, et autres
Publié: (2025)

To Adapt or not to Adapt, Rethinking the Value of Medical Knowledge-Aware Large Language Models
par: Domingo-Aldama, Ane G., et autres
Publié: (2026)

MEDEC: A Benchmark for Medical Error Detection and Correction in Clinical Notes
par: Abacha, Asma Ben, et autres
Publié: (2024)

DermaVQA-DAS: Dermatology Assessment Schema (DAS) & Datasets for Closed-Ended Question Answering & Segmentation in Patient-Generated Dermatology Images
par: Yim, Wen-wai, et autres
Publié: (2025)

UW-BioNLP at ChemoTimelines 2025: Thinking, Fine-Tuning, and Dictionary-Enhanced LLM Systems for Chemotherapy Timeline Extraction
par: Zhang, Tianmai M., et autres
Publié: (2025)

Biomedical Nested NER with Large Language Model and UMLS Heuristics
par: Zhou, Wenxin
Publié: (2024)

Classifying Human-Generated and AI-Generated Election Claims in Social Media
par: Dmonte, Alphaeus, et autres
Publié: (2024)

Leveraging Weakly Annotated Data for Hate Speech Detection in Code-Mixed Hinglish: A Feasibility-Driven Transfer Learning Approach with Large Language Models
par: Yadav, Sargam, et autres
Publié: (2024)

Automated Knowledge Graph Construction using Large Language Models and Sentence Complexity Modelling
par: Anuyah, Sydney, et autres
Publié: (2025)

Adapting Large Language Models to Domains via Reading Comprehension
par: Cheng, Daixuan, et autres
Publié: (2023)

Adapting Large Language Models for Document-Level Machine Translation
par: Wu, Minghao, et autres
Publié: (2024)

Learning to Extract Cross-Domain Aspects and Understanding Sentiments Using Large Language Models
par: Ghosh, Karukriti Kaushik, et autres
Publié: (2025)

Large Language Models for Biomedical Article Classification
par: Proboszcz, Jakub, et autres
Publié: (2026)

MasonTigers at SemEval-2024 Task 8: Performance Analysis of Transformer-based Models on Machine-Generated Text Detection
par: Puspo, Sadiya Sayara Chowdhury, et autres
Publié: (2024)

Evaluating and Adapting Large Language Models to Represent Folktales in Low-Resource Languages
par: Meaney, JA, et autres
Publié: (2024)

Do Large Language Models Adapt to Language Variation across Socioeconomic Status?
par: Bassignana, Elisa, et autres
Publié: (2026)