output
20102026
most citedThe Augmented Lagrange Multiplier Method for Exact Recovery of Corrupted Low-Rank Matrices

2.2k citations

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5 papers · 1 filter

cs.CL2025

Repurposing Annotation Guidelines to Instruct LLM Annotators: A Case Study

Kon Woo Kim, Rezarta Islamaj, Jin-Dong Kim +2

This study investigates how existing annotation guidelines can be repurposed to instruct large language model (LLM) annotators for text annotation tasks. Traditional guidelines are…

cs.CL2025★ 1 cited

Memorization in Large Language Models in Medicine: Prevalence, Characteristics, and Implications

Anran Li, Lingfei Qian, Mengmeng Du +18

Large Language Models (LLMs) have demonstrated significant potential in medicine, with many studies adapting them through continued pre-training or fine-tuning on medical data to e…

cs.CL2023★ 172 cited

Benchmarking large language models for biomedical natural language processing applications and recommendations

Qingyu Chen, Yan Hu, Xueqing Peng +18

The rapid growth of biomedical literature poses challenges for manual knowledge curation and synthesis. Biomedical Natural Language Processing (BioNLP) automates the process. While…

cs.CL2019

PDC -- a probabilistic distributional clustering algorithm: a case study on suicide articles in PubMed

Rezarta Islamaj, Lana Yeganova, Won Kim +3

The need to organize a large collection in a manner that facilitates human comprehension is crucial given the ever-increasing volumes of information. In this work, we present PDC (…

cs.CL2019★ 211 cited

A Question-Entailment Approach to Question Answering

Asma Ben Abacha, Dina Demner-Fushman

One of the challenges in large-scale information retrieval (IR) is to develop fine-grained and domain-specific methods to answer natural language questions. Despite the availabilit…