:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Sarkar, Atiquer Rahman, Chuang, Yao-Shun, Mohammed, Noman, Jiang, Xiaoqian
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2402.00179
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Robust Privacy Amidst Innovation with Large Language Models Through a Critical Assessment of the Risks
by: Chuang, Yao-Shun, et al.
Published: (2024)

Synthetic Data: Revisiting the Privacy-Utility Trade-off
by: Sarmin, Fatima Jahan, et al.
Published: (2024)

Re-identification of De-identified Documents with Autoregressive Infilling
by: Charpentier, Lucas Georges Gabriel, et al.
Published: (2025)

Comparing representations of long clinical texts for the task of patient note-identification
by: Alsaidi, Safa, et al.
Published: (2025)

Privacy-Preserving Fair Synthetic Tabular Data
by: Sarmin, Fatima J., et al.
Published: (2025)

Cross-Institutional Dental EHR Entity Extraction via Generative AI and Synthetic Notes
by: Chuang, Yao-Shun, et al.
Published: (2024)

FusionDP: Foundation Model-Assisted Differentially Private Learning for Partially Sensitive Features
by: Zeng, Linghui, et al.
Published: (2025)

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

Towards Fair and Efficient De-identification: Quantifying the Efficiency and Generalizability of De-identification Approaches
by: Zambare, Noopur, et al.
Published: (2026)

What Makes Language Models Good-enough?
by: Asami, Daiki, et al.
Published: (2024)

Paradox of De-identification: A Critique of HIPAA Safe Harbour in the Age of LLMs
by: Jiang, Lavender Y., et al.
Published: (2026)

DeIDClinic: A Risk-Aware Pseudonymization Framework for Clinical Text De-identification and Re-identification Risk Assessment
by: Paul, Angel, et al.
Published: (2024)

Is analogy enough to draw novel adjective-noun inferences?
by: Ross, Hayley, et al.
Published: (2025)

Enhancing Clinical Models with Pseudo Data for De-identification
by: Landes, Paul, et al.
Published: (2025)

Thunder-DeID: Accurate and Efficient De-identification Framework for Korean Court Judgments
by: Hahm, Sungeun, et al.
Published: (2025)

Using reasoning LLMs to extract SDOH events from clinical notes
by: Dogan, Ertan, et al.
Published: (2026)

SNOBERT: A Benchmark for clinical notes entity linking in the SNOMED CT clinical terminology
by: Kulyabin, Mikhail, et al.
Published: (2024)

Evaluating Subword Tokenization Techniques for Bengali: A Benchmark Study with BengaliBPE
by: Patwary, Firoj Ahmmed, et al.
Published: (2025)

Are LLMs reliable? An exploration of the reliability of large language models in clinical note generation
by: Carandang, Kristine Ann M., et al.
Published: (2025)

Automatic detection of diseases in Spanish clinical notes combining medical language models and ontologies
by: Torre, Leon-Paul Schaub, et al.
Published: (2024)

Deconstructing sentence disambiguation by joint latent modeling of reading paradigms: LLM surprisal is not enough
by: Paape, Dario, et al.
Published: (2026)

Are LLM-based methods good enough for detecting unfair terms of service?
by: Frasheri, Mirgita, et al.
Published: (2024)

One prompt is not enough: Instruction Sensitivity Undermines Embedding Model Evaluation
by: Kostiuk, Yevhen, et al.
Published: (2026)

Enhancing the De-identification of Personally Identifiable Information in Educational Data
by: Ji, Zilyu, et al.
Published: (2025)

Judging It, Washing It: Scoring and Greenwashing Corporate Climate Disclosures using Large Language Models
by: Chuang, Marianne, et al.
Published: (2025)

A comparison of translation performance between DeepL and Supertext
by: Flückiger, Alex, et al.
Published: (2025)

Protecting De-identified Documents from Search-based Linkage Attacks
by: Lison, Pierre, et al.
Published: (2025)

Efficient extraction of medication information from clinical notes: an evaluation in two languages
by: Fabacher, Thibaut, et al.
Published: (2025)

Are ASR foundation models generalized enough to capture features of regional dialects for low-resource languages?
by: Dipto, Tawsif Tashwar, et al.
Published: (2025)

BSpell: A CNN-Blended BERT Based Bangla Spell Checker
by: Rahman, Chowdhury Rafeed, et al.
Published: (2022)

Aligning Text, Code, and Vision: A Multi-Objective Reinforcement Learning Framework for Text-to-Visualization
by: Rahman, Mizanur, et al.
Published: (2026)

Anonpsy: A Graph-Based Framework for Structure-Preserving De-identification of Psychiatric Narratives
by: Lim, Kyung Ho, et al.
Published: (2026)

Metaphor identification using large language models: A comparison of RAG, prompt engineering, and fine-tuning
by: Fuoli, Matteo, et al.
Published: (2025)

De-identification of clinical free text using natural language processing: A systematic review of current approaches
by: Kovačević, Aleksandar, et al.
Published: (2023)

In the Name of Fairness: Assessing the Bias in Clinical Record De-identification
by: Xiao, Yuxin, et al.
Published: (2023)

Analysing zero-shot temporal relation extraction on clinical notes using temporal consistency
by: Kougia, Vasiliki, et al.
Published: (2024)

Not What the Doctor Ordered: Surveying LLM-based De-identification and Quantifying Clinical Information Loss
by: Aghakasiri, Kiana, et al.
Published: (2025)

The Cost of Context: Mitigating Textual Bias in Multimodal Retrieval-Augmented Generation
by: Jung, Hoin, et al.
Published: (2026)

Had enough of experts? Quantitative knowledge retrieval from large language models
by: Selby, David, et al.
Published: (2024)

RegCheck: A tool for automating comparisons between study registrations and papers
by: Cummins, Jamie, et al.
Published: (2026)