15 citations · 19 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 15 cited
The Chronicles of RAG: The Retriever, the Chunk and the Generator
Paulo Finardi, Leonardo Avila, Rodrigo Castaldoni +5
Retrieval Augmented Generation (RAG) has become one of the most popular paradigms for enabling LLMs to access external data, and also as a mechanism for grounding to mitigate again…
cs.CL2023★ 4 cited
Cabrita: closing the gap for foreign languages
Celio Larcher, Marcos Piau, Paulo Finardi +3
The strategy of training the model from scratch in a specific language or domain serves two essential purposes: i) enhancing performance in the particular linguistic or domain cont…