2.2k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- National Institutes of HealthUS26 papers
- National Center for Biotechnology InformationUS7 papers
- Yale UniversityUS5 papers
- National Institutes of Health Clinical CenterUS4 papers
- National Eye InstituteUS3 papers
- National University of SingaporeSG3 papers
- Oregon Health & Science UniversityUS3 papers
- Pennsylvania State UniversityUS3 papers
- Radboud University NijmegenNL3 papers
- The University of Texas Health Science Center at HoustonUS3 papers
- University of California San DiegoUS3 papers
- Carnegie Mellon UniversityUS2 papers
5 papers · 1 filter
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…
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…
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…
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 (…
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…