Cover Image

LLMs-in-the-Loop Part 2: Expert Small AI Models for Anonymization and De-identification of PHI Across Multiple Languages

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gunay, Murat, Keles, Bunyamin, Hizlan, Raife
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LLMs-in-the-loop Part-1: Expert Small AI Models for Bio-Medical Text Translation
by: Keles, Bunyamin, et al.
Published: (2024)

(WhyPHI) Fine-Tuning PHI-3 for Multiple-Choice Question Answering: Methodology, Results, and Challenges
by: Abdellatif, Mohamed Hisham
Published: (2025)

RAD-PHI2: Instruction Tuning PHI-2 for Radiology
by: Ranjit, Mercy, et al.
Published: (2024)

SHIELD: A Diverse Clinical Note Dataset and Distilled Small Language Models for Enterprise-Scale De-identification
by: Posada, Jose D., et al.
Published: (2026)

An Expert is Worth One Token: Synergizing Multiple Expert LLMs as Generalist via Expert Token Routing
by: Chai, Ziwei, et al.
Published: (2024)

Toward Cybersecurity-Expert Small Language Models
by: Levi, Matan, et al.
Published: (2025)

WHBench: Evaluating Frontier LLMs with Expert-in-the-Loop Validation on Women's Health Topics
by: Maurya, Sneha, et al.
Published: (2026)

Benchmarking Concept-Spilling Across Languages in LLMs
by: Badanin, Ilia, et al.
Published: (2026)

On the Temporal Question-Answering Capabilities of Large Language Models Over Anonymized Data
by: Ruiz, Alfredo Garrachón, et al.
Published: (2025)

AgentStealth: Reinforcing Large Language Model for Anonymizing User-generated Text
by: Shao, Chenyang, et al.
Published: (2025)

SLM as Guardian: Pioneering AI Safety with Small Language Models
by: Kwon, Ohjoon, et al.
Published: (2024)

Framing Political Bias in Multilingual LLMs Across Pakistani Languages
by: Nadeem, Afrozah, et al.
Published: (2025)

Evaluating the Efficacy of AI Techniques in Textual Anonymization: A Comparative Study
by: Asimopoulos, Dimitris, et al.
Published: (2024)

ExpertPrompting: Instructing Large Language Models to be Distinguished Experts
by: Xu, Benfeng, et al.
Published: (2023)

Learning the Topic, Not the Language: How LLMs Classify Online Immigration Discourse Across Languages
by: Nasuto, Andrea, et al.
Published: (2025)

Categorical Classification of Book Summaries Using Word Embedding Techniques
by: Keskin, Kerem, et al.
Published: (2025)

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

Uncertainty Quantification in Large Language Models Through Convex Hull Analysis
by: Catak, Ferhat Ozgur, et al.
Published: (2024)

Do Language Models Reason Across Languages?
by: Meng, Yan, et al.
Published: (2026)

LLMs for Translation: Historical, Low-Resourced Languages and Contemporary AI Models
by: Tekgurler, Merve
Published: (2025)

Shared Emotion Geometry Across Small Language Models: A Cross-Architecture Study of Representation, Behavior, and Methodological Confounds
by: Jeong, Jihoon
Published: (2026)

Model-in-the-Loop (MILO): Accelerating Multimodal AI Data Annotation with LLMs
by: Wang, Yifan, et al.
Published: (2024)

Pre-Attention Expert Prediction and Prefetching for Mixture-of-Experts Large Language Models
by: Zhu, Shien, et al.
Published: (2025)

Evaluating Open-Weight Large Language Models for Structured Data Extraction from Narrative Medical Reports Across Multiple Use Cases and Languages
by: Spaanderman, Douwe J., et al.
Published: (2025)

GOFAI meets Generative AI: Development of Expert Systems by means of Large Language Models
by: Garrido-Merchán, Eduardo C., et al.
Published: (2025)

Explanation Fairness in Large Language Models: An Empirical Analysis of Disparities in How LLMs Justify Decisions Across Demographic Groups
by: Veldanda, Gautam
Published: (2026)

The Non-Determinism of Small LLMs: Evidence of Low Answer Consistency in Repetition Trials of Standard Multiple-Choice Benchmarks
by: Pinhanez, Claudio, et al.
Published: (2025)

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

Unplug and Play Language Models: Decomposing Experts in Language Models at Inference Time
by: Yang, Nakyeong, et al.
Published: (2024)

Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM
by: Sukhbaatar, Sainbayar, et al.
Published: (2024)

Large Language Models are Advanced Anonymizers
by: Staab, Robin, et al.
Published: (2024)

Pruning General Large Language Models into Customized Expert Models
by: Zhao, Yirao, et al.
Published: (2025)

Small Language Model as Data Prospector for Large Language Model
by: Ni, Shiwen, et al.
Published: (2024)

Mix of Experts Language Model for Named Entity Recognition
by: Chen, Xinwei, et al.
Published: (2024)

Code Vulnerability Detection Across Different Programming Languages with AI Models
by: Humran, Hael Abdulhakim Ali, et al.
Published: (2025)

Cross-Model Consistency of AI-Generated Exercise Prescriptions: A Repeated Generation Study Across Three Large Language Models
by: Lee, Kihyuk
Published: (2026)

MuPHI: Learning Implicit Multimodal Harm Reasoning via Semantically Grounded Reward Optimization
by: Saha, Anisha, et al.
Published: (2026)

Hallucination Detection with Small Language Models
by: Cheung, Ming
Published: (2025)

Small Language Models can Outperform Humans in Short Creative Writing: A Study Comparing SLMs with Humans and LLMs
by: Marco, Guillermo, et al.
Published: (2024)

A Theory of Response Sampling in LLMs: Part Descriptive and Part Prescriptive
by: Sivaprasad, Sarath, et al.
Published: (2024)