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cs.CL2026
Interpretable Stylistic Variation in Human and LLM Writing Across Genres, Models, and Decoding Strategies
Swati Rallapalli, Shannon Gallagher, Ronald Yurko +4
Large Language Models (LLMs) are now capable of generating highly fluent, human-like text. They enable many applications, but also raise concerns such as large scale spam, phishing…
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…