1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.AI2024
ERATTA: Extreme RAG for Table To Answers with Large Language Models
Sohini Roychowdhury, Marko Krema, Anvar Mahammad +3
Large language models (LLMs) with retrieval augmented-generation (RAG) have been the optimal choice for scalable generative AI solutions in the recent past. Although RAG implemente…
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…