4 citations · 12 across the 16 of their papers we have counts for
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cs.CL2024
FiSTECH: Financial Style Transfer to Enhance Creativity without Hallucinations in LLMs
Sohini Roychowdhury, Marko Krema, Brian Moore +3
Recent trends in Generative AI have emerged towards fine-tuning foundational large language models (LLMs) to create domain-specific LLMs for automation and chatbot-like application…
cs.CL2023★ 1 cited
Journey of Hallucination-minimized Generative AI Solutions for Financial Decision Makers
Sohini Roychowdhury
Generative AI has significantly reduced the entry barrier to the domain of AI owing to the ease of use and core capabilities of automation, translation, and intelligent actions in…
cs.CL2023★ 1 cited
Hallucination-minimized Data-to-answer Framework for Financial Decision-makers
Sohini Roychowdhury, Andres Alvarez, Brian Moore +8
Large Language Models (LLMs) have been applied to build several automation and personalized question-answering prototypes so far. However, scaling such prototypes to robust product…