Imagen de Portada

PLACID: Privacy-preserving Large language models for Acronym Clinical Inference and Disambiguation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Aithal, Manjushree B., D., Ph., Kotz, Alexander, Mitchell, James, D, Ph.
Formato:	Preprint
Publicado:	2026
Materias:	Computation and Language Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Indian Legal NLP Benchmarks : A Survey
por: Kalamkar, Prathamesh, et al.
Publicado: (2021)

Large Language Model-Powered Conversational Agent Delivering Problem-Solving Therapy (PST) for Family Caregivers: Enhancing Empathy and Therapeutic Alliance Using In-Context Learning
por: Wang, Liying, et al.
Publicado: (2025)

DACE For Railway Acronym Disambiguation
por: Hribach, El Mokhtar, et al.
Publicado: (2025)

Exploring the Word Sense Disambiguation Capabilities of Large Language Models
por: Basile, Pierpaolo, et al.
Publicado: (2025)

Large language models in medicine: the potentials and pitfalls
por: Omiye, Jesutofunmi A., et al.
Publicado: (2023)

Large language models show fragile cognitive reasoning about human emotions
por: Bhattacharyya, Sree, et al.
Publicado: (2025)

Large language models and linguistic intentionality
por: Grindrod, Jumbly
Publicado: (2024)

On Translating Technical Terminology: A Translation Workflow for Machine-Translated Acronyms
por: Yue, Richard, et al.
Publicado: (2024)

Evaluating LLMs on Entity Disambiguation in Tables
por: Belotti, Federico, et al.
Publicado: (2024)

Spatial-Temporal Deep Embedding for Vehicle Trajectory Reconstruction from High-Angle Video
por: D., Tianya T. Zhang Ph., et al.
Publicado: (2022)

Dissociating language and thought in large language models
por: Mahowald, Kyle, et al.
Publicado: (2023)

Characterizing Stereotypical Bias from Privacy-preserving Pre-Training
por: Arnold, Stefan, et al.
Publicado: (2024)

Enhancing Small Medical Learners with Privacy-preserving Contextual Prompting
por: Zhang, Xinlu, et al.
Publicado: (2023)

Large language models struggle with ethnographic text annotation
por: Goodall, Leonardo S., et al.
Publicado: (2026)

Word Sense Linking: Disambiguating Outside the Sandbox
por: Bejgu, Andrei Stefan, et al.
Publicado: (2024)

Large language model empowered participatory urban planning
por: Zhou, Zhilun, et al.
Publicado: (2024)

Scaling laws for language encoding models in fMRI
por: Antonello, Richard, et al.
Publicado: (2023)

Large language model for Bible sentiment analysis: Sermon on the Mount
por: Vora, Mahek, et al.
Publicado: (2024)

Large language models management of medications: three performance analyses
por: Henry, Kelli, et al.
Publicado: (2025)

Large language models in healthcare and medical domain: A review
por: Nazi, Zabir Al, et al.
Publicado: (2023)

Augmenting emotion features in irony detection with Large language modeling
por: Lin, Yucheng, et al.
Publicado: (2024)

Using Language Models to Disambiguate Lexical Choices in Translation
por: Barua, Josh, et al.
Publicado: (2024)

Value Preferences Estimation and Disambiguation in Hybrid Participatory Systems
por: Liscio, Enrico, et al.
Publicado: (2024)

Polyphone Disambiguation in Mandarin Chinese with Semi-Supervised Learning
por: Shi, Yi, et al.
Publicado: (2021)

Thank You, Stingray: Multilingual Large Language Models Can Not (Yet) Disambiguate Cross-Lingual Word Sense
por: Cahyawijaya, Samuel, et al.
Publicado: (2024)

Language Models as Knowledge Bases for Visual Word Sense Disambiguation
por: Kritharoula, Anastasia, et al.
Publicado: (2023)

Active Task Disambiguation with LLMs
por: Kobalczyk, Katarzyna, et al.
Publicado: (2025)

Interpretable Differential Diagnosis with Dual-Inference Large Language Models
por: Zhou, Shuang, et al.
Publicado: (2024)

Tokens, the oft-overlooked appetizer: Large language models, the distributional hypothesis, and meaning
por: Zimmerman, Julia Witte, et al.
Publicado: (2024)

Construction Identification and Disambiguation Using BERT: A Case Study of NPN
por: Scivetti, Wesley, et al.
Publicado: (2025)

Solving Word-Sense Disambiguation and Word-Sense Induction with Dictionary Examples
por: Škvorc, Tadej, et al.
Publicado: (2025)

Training a Large Language Model for Medical Coding Using Privacy-Preserving Synthetic Clinical Data
por: Cook, John, et al.
Publicado: (2026)

ClinicalGPT-R1: Pushing reasoning capability of generalist disease diagnosis with large language model
por: Lan, Wuyang, et al.
Publicado: (2025)

Large language models for folktale type automation based on motifs: Cinderella case study
por: Arčon, Tjaša, et al.
Publicado: (2025)

Social preferences with unstable interactive reasoning: Large language models in economic trust games
por: Jiamin, Ou, et al.
Publicado: (2025)

Outraged AI: Large language models prioritise emotion over cost in fairness enforcement
por: Liu, Hao, et al.
Publicado: (2025)

Code-enabled language models can outperform reasoning models on diverse tasks
por: Zhang, Cedegao E., et al.
Publicado: (2025)

Integrating Symbolic Natural Language Understanding and Language Models for Word Sense Disambiguation
por: Zhao, Kexin, et al.
Publicado: (2025)

PejorativITy: Disambiguating Pejorative Epithets to Improve Misogyny Detection in Italian Tweets
por: Muti, Arianna, et al.
Publicado: (2024)

Word Sense Disambiguation in Native Spanish: A Comprehensive Lexical Evaluation Resource
por: Ortega, Pablo, et al.
Publicado: (2024)