2 papers
cs.CL2025
Evaluating Open-Weight Large Language Models for Structured Data Extraction from Narrative Medical Reports Across Multiple Use Cases and Languages
Douwe J. Spaanderman, Karthik Prathaban, Petr Zelina +20
Large language models (LLMs) are increasingly used to extract structured information from free-text clinical records, but prior work often focuses on single tasks, limited models,…
cs.CL2025
Teaching Large Language Models Number-Focused Headline Generation With Key Element Rationales
Zhen Qian, Xiuzhen Zhang, Xiaofei Xu +1
Number-focused headline generation is a summarization task requiring both high textual quality and precise numerical accuracy, which poses a unique challenge for Large Language Mod…