:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Paul, Angel, Shaji, Dhivin, Han, Lifeng, Del-Pinto, Warren, Nenadic, Goran, Verberne, Suzan
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2410.01648
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

HealthcareNLP: where are we and what is next?
by: Han, Lifeng, et al.
Published: (2025)

Generating Synthetic Free-text Medical Records with Low Re-identification Risk using Masked Language Modeling
by: Belkadi, Samuel, et al.
Published: (2024)

Synthetic4Health: Generating Annotated Synthetic Clinical Letters
by: Ren, Libo, et al.
Published: (2024)

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

Exploration of Masked and Causal Language Modelling for Text Generation
by: Micheletti, Nicolo, et al.
Published: (2024)

INSIGHTBUDDY-AI: Medication Extraction and Entity Linking using Large Language Models and Ensemble Learning
by: Romero, Pablo, et al.
Published: (2024)

AutoLLM-CARD: Towards a Description and Landscape of Large Language Models
by: Tian, Shengwei, et al.
Published: (2024)

A Comparative Study on Automatic Coding of Medical Letters with Explainability
by: Glen, Jamie, et al.
Published: (2024)

EL-MIA: Quantifying Membership Inference Risks of Sensitive Entities in LLMs
by: Satvaty, Ali, et al.
Published: (2025)

Neural Machine Translation of Clinical Text: An Empirical Investigation into Multilingual Pre-Trained Language Models and Transfer-Learning
by: Han, Lifeng, et al.
Published: (2023)

Structured Information Matters: Explainable ICD Coding with Patient-Level Knowledge Graphs
by: Li, Mingyang, et al.
Published: (2025)

Large Language Models for Biomedical Text Simplification: Promising But Not There Yet
by: Li, Zihao, et al.
Published: (2024)

Investigating Large Language Models and Control Mechanisms to Improve Text Readability of Biomedical Abstracts
by: Li, Zihao, et al.
Published: (2023)

LLMs Enable Bag-of-Texts Representations for Short-Text Clustering
by: Lin, I-Fan, et al.
Published: (2025)

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

Dutch Metaphor Extraction from Cancer Patients' Interviews and Forum Data using LLMs and Human in the Loop
by: Han, Lifeng, et al.
Published: (2025)

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

MTUncertainty: Assessing the Need for Post-editing of Machine Translation Outputs by Fine-tuning OpenAI LLMs
by: Gladkoff, Serge, et al.
Published: (2023)

CANTONMT: Investigating Back-Translation and Model-Switch Mechanisms for Cantonese-English Neural Machine Translation
by: Hong, Kung Yin, et al.
Published: (2024)

CantonMT: Cantonese to English NMT Platform with Fine-Tuned Models Using Synthetic Back-Translation Data
by: Hong, Kung Yin, et al.
Published: (2024)

MaLei at the PLABA Track of TREC 2024: RoBERTa for Term Replacement -- LLaMA3.1 and GPT-4o for Complete Abstract Adaptation
by: Ling, Zhidong, et al.
Published: (2024)

Analyzing Cancer Patients' Experiences with Embedding-based Topic Modeling and LLMs
by: Ionescu, Teodor-Călin, 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)

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

Evaluating Differentially Private Generation of Domain-Specific Text
by: Sun, Yidan, et al.
Published: (2025)

Improving RAG for Personalization with Author Features and Contrastive Examples
by: Yazan, Mert, et al.
Published: (2025)

Dataset Creation for Visual Entailment using Generative AI
by: Reijtenbach, Rob, et al.
Published: (2025)

Investigating the Robustness of Modelling Decisions for Few-Shot Cross-Topic Stance Detection: A Preregistered Study
by: Reuver, Myrthe, et al.
Published: (2024)

QUIDS: Query Intent Description for Exploratory Search via Dual Space Modeling
by: Wang, Yumeng, et al.
Published: (2024)

RankSteer: Activation Steering for Pointwise LLM Ranking
by: Wang, Yumeng, et al.
Published: (2026)

What are the limits of cross-lingual dense passage retrieval for low-resource languages?
by: Wu, Jie, et al.
Published: (2024)

Undesirable Memorization in Large Language Models: A Survey
by: Satvaty, Ali, et al.
Published: (2024)

The Impact of Quantization on Retrieval-Augmented Generation: An Analysis of Small LLMs
by: Yazan, Mert, et al.
Published: (2024)

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

Towards a resource for multilingual lexicons: an MT assisted and human-in-the-loop multilingual parallel corpus with multi-word expression annotation
by: Han, Lifeng, et al.
Published: (2020)

TransECG: Leveraging Transformers for Explainable ECG Re-identification Risk Analysis
by: Wang, Ziyu, et al.
Published: (2025)

ReText: Text Boosts Generalization in Image-Based Person Re-identification
by: Mamedov, Timur, et al.
Published: (2026)

Will Large Language Models Transform Clinical Prediction?
by: Yildiz, Yusuf, et al.
Published: (2025)

SPILL: Domain-Adaptive Intent Clustering based on Selection and Pooling with Large Language Models
by: Lin, I-Fan, et al.
Published: (2025)

Efficient course recommendations with T5-based ranking and summarization
by: Bijl, Thijmen, et al.
Published: (2024)