1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.CL2025
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.SE2022★ 1 cited
Measuring AI Systems Beyond Accuracy
Violet Turri, Rachel Dzombak, Eric Heim +3
Current test and evaluation (T&E) methods for assessing machine learning (ML) system performance often rely on incomplete metrics. Testing is additionally often siloed from the oth…