24 citations · 32 across the 14 of their papers we have counts for
14 papers
Retail-GPT: leveraging Retrieval Augmented Generation (RAG) for building E-commerce Chat Assistants
Bruno Amaral Teixeira de Freitas, Roberto de Alencar Lotufo
This work presents Retail-GPT, an open-source RAG-based chatbot designed to enhance user engagement in retail e-commerce by guiding users through product recommendations and assist…
Measuring Cross-lingual Transfer in Bytes
Leandro Rodrigues de Souza, Thales Sales Almeida, Roberto Lotufo +1
Multilingual pretraining has been a successful solution to the challenges posed by the lack of resources for languages. These models can transfer knowledge to target languages with…
Quati: A Brazilian Portuguese Information Retrieval Dataset from Native Speakers
Mirelle Bueno, Eduardo Seiti de Oliveira, Rodrigo Nogueira +2
Despite Portuguese being one of the most spoken languages in the world, there is a lack of high-quality information retrieval datasets in that language. We present Quati, a dataset…
INACIA: Integrating Large Language Models in Brazilian Audit Courts: Opportunities and Challenges
Jayr Pereira, Andre Assumpcao, Julio Trecenti +7
This paper introduces INACIA (Instrução Assistida com Inteligência Artificial), a groundbreaking system designed to integrate Large Language Models (LLMs) into the operational fram…
Lissard: Long and Simple Sequential Reasoning Datasets
Mirelle Bueno, Roberto Lotufo, Rodrigo Nogueira
Language models are now capable of solving tasks that require dealing with long sequences consisting of hundreds of thousands of tokens. However, they often fail on tasks that requ…
ExaRanker-Open: Synthetic Explanation for IR using Open-Source LLMs
Fernando Ferraretto, Thiago Laitz, Roberto Lotufo +1
ExaRanker recently introduced an approach to training information retrieval (IR) models, incorporating natural language explanations as additional labels. The method addresses the…