3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CL2024
Does Data Contamination Detection Work (Well) for LLMs? A Survey and Evaluation on Detection Assumptions
Yujuan Fu, Ozlem Uzuner, Meliha Yetisgen +1
Large language models (LLMs) have demonstrated great performance across various benchmarks, showing potential as general-purpose task solvers. However, as LLMs are typically traine…
cs.CL2019★ 3 cited
Extraction and Analysis of Clinically Important Follow-up Recommendations in a Large Radiology Dataset
Wilson Lau, Thomas H Payne, Ozlem Uzuner +1
Communication of follow-up recommendations when abnormalities are identified on imaging studies is prone to error. In this paper, we present a natural language processing approach…