Imagen de Portada

SHIELD: A Diverse Clinical Note Dataset and Distilled Small Language Models for Enterprise-Scale De-identification

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Posada, Jose D., Love, David, Datta, Somalee, Desai, Priya
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

Differentially Private De-identification of Dutch Clinical Notes: A Comparative Evaluation
por: Miranda, Michele, et al.
Publicado: (2026)

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks
por: Joshi, Ratnesh Kumar, et al.
Publicado: (2024)

Distilling Mathematical Reasoning Capabilities into Small Language Models
por: Zhu, Xunyu, et al.
Publicado: (2024)

LLMs-in-the-Loop Part 2: Expert Small AI Models for Anonymization and De-identification of PHI Across Multiple Languages
por: Gunay, Murat, et al.
Publicado: (2024)

Publicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes
por: Kweon, Sunjun, et al.
Publicado: (2023)

Systematic Evaluation of the Quality of Synthetic Clinical Notes Rephrased by LLMs at Million-Note Scale
por: Liu, Jinghui, et al.
Publicado: (2026)

The Evolution of RWKV: Advancements in Efficient Language Modeling
por: Datta, Akul
Publicado: (2024)

Capturing Nuanced Preferences: Preference-Aligned Distillation for Small Language Models
por: Gu, Yanggan, et al.
Publicado: (2025)

SOD: Step-wise On-policy Distillation for Small Language Model Agents
por: Zhong, Qiyong, et al.
Publicado: (2026)

Fine-tuning Small Language Models as Efficient Enterprise Search Relevance Labelers
por: Kang, Yue, et al.
Publicado: (2026)

Kakugo: Distillation of Low-Resource Languages into Small Language Models
por: Devine, Peter, et al.
Publicado: (2026)

Improving Mathematical Reasoning Capabilities of Small Language Models via Feedback-Driven Distillation
por: Zhu, Xunyu, et al.
Publicado: (2024)

Efficiency at Scale: Investigating the Performance of Diminutive Language Models in Clinical Tasks
por: Taylor, Niall, et al.
Publicado: (2024)

DiReCT: Diagnostic Reasoning for Clinical Notes via Large Language Models
por: Wang, Bowen, et al.
Publicado: (2024)

Declarative Knowledge Distillation from Large Language Models for Visual Question Answering Datasets
por: Eiter, Thomas, et al.
Publicado: (2024)

Large Language Models as Universal Predictors? An Empirical Study on Small Tabular Datasets
por: Pavlidis, Nikolaos, et al.
Publicado: (2025)

SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation
por: Liu, Xiaoze, et al.
Publicado: (2024)

Scaling Data Diversity for Fine-Tuning Language Models in Human Alignment
por: Song, Feifan, et al.
Publicado: (2024)

We Argue to Agree: Towards Personality-Driven Argumentation-Based Negotiation Dialogue Systems for Tourism
por: Priya, Priyanshu, et al.
Publicado: (2025)

Self-Prompting Small Language Models for Privacy-Sensitive Clinical Information Extraction
por: Chuang, Yao-Shun, et al.
Publicado: (2026)

Scaling Video-Language Models to 10K Frames via Hierarchical Differential Distillation
por: Cheng, Chuanqi, et al.
Publicado: (2025)

Distilling LLM Agent into Small Models with Retrieval and Code Tools
por: Kang, Minki, et al.
Publicado: (2025)

SLaDe: A Portable Small Language Model Decompiler for Optimized Assembly
por: Armengol-Estapé, Jordi, et al.
Publicado: (2023)

Chunk-Distilled Language Modeling
por: Li, Yanhong, et al.
Publicado: (2024)

Extraction of Sleep Information from Clinical Notes of Patients with Alzheimer's Disease Using Natural Language Processing
por: Sivarajkumar, Sonish, et al.
Publicado: (2022)

Efficient Standardization of Clinical Notes using Large Language Models
por: Hier, Daniel B., et al.
Publicado: (2024)

GiusBERTo: A Legal Language Model for Personal Data De-identification in Italian Court of Auditors Decisions
por: Salierno, Giulio, et al.
Publicado: (2024)

Assessing the Quality of AI-Generated Clinical Notes: A Validated Evaluation of a Large Language Model Scribe
por: Palm, Erin, et al.
Publicado: (2025)

Importance of Prompt Optimisation for Error Detection in Medical Notes Using Language Models
por: Myles, Craig, et al.
Publicado: (2026)

Technical Report: Small Language Model for Japanese Clinical and Medicine
por: Watanabe, Shogo
Publicado: (2024)

Domain-Adapted Small Language Models for Reliable Clinical Triage
por: Aljohani, Manar, et al.
Publicado: (2026)

Bridging the Reasoning Gap in Vietnamese with Small Language Models via Test-Time Scaling
por: Trung, Bui The, et al.
Publicado: (2026)

T1: Tool-integrated Verification for Test-time Compute Scaling in Small Language Models
por: Kang, Minki, et al.
Publicado: (2025)

Rethinking Scale: Deployment Trade-offs of Small Language Models under Agent Paradigms
por: Wang, Xinlin, et al.
Publicado: (2026)

Command A: An Enterprise-Ready Large Language Model
por: Cohere, Team, et al.
Publicado: (2025)

Comparative Analysis of 47 Context-Based Question Answer Models Across 8 Diverse Datasets
por: Muneeb, Muhammad, et al.
Publicado: (2025)

Measuring Diversity in Synthetic Datasets
por: Zhu, Yuchang, et al.
Publicado: (2025)

Unifying Ontology Construction and Semantic Alignment for Deterministic Enterprise Reasoning at Scale
por: Zhu, Hongyin
Publicado: (2026)

Classification of Radiological Text in Small and Imbalanced Datasets in a Non-English Language
por: Beliveau, Vincent, et al.
Publicado: (2024)

InfiR : Crafting Effective Small Language Models and Multimodal Small Language Models in Reasoning
por: Xie, Congkai, et al.
Publicado: (2025)