2 papers
cs.CL2026
Fine-Tuning LLMs for Report Summarization: Analysis on Supervised and Unsupervised Data
Swati Rallapalli, Shannon Gallagher, Andrew O. Mellinger +6
We study the efficacy of fine-tuning Large Language Models (LLMs) for the specific task of report (government archives, news, intelligence reports) summarization. While this topic…
cs.LG2026
Physics-Informed Deep B-Spline Networks
Zhuoyuan Wang, Raffaele Romagnoli, Saviz Mowlavi +1
Physics-informed machine learning offers a promising framework for solving complex partial differential equations (PDEs) by integrating observational data with governing physical l…