29 citations · 35 across the 9 of their papers we have counts for
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cs.CL2024
Prompting and Fine-Tuning of Small LLMs for Length-Controllable Telephone Call Summarization
David Thulke, Yingbo Gao, Rricha Jalota +2
This paper explores the rapid development of a telephone call summarization system utilizing large language models (LLMs). Our approach involves initial experiments with prompting…
cs.LG2024
ClimateGPT: Towards AI Synthesizing Interdisciplinary Research on Climate Change
David Thulke, Yingbo Gao, Petrus Pelser +23
This paper introduces ClimateGPT, a model family of domain-specific large language models that synthesize interdisciplinary research on climate change. We trained two 7B models fro…