5 papers
Question Answering with Texts and Tables through Deep Reinforcement Learning
Marcos M. José, Flávio N. Cação, Maria F. Ribeiro +3
This paper proposes a novel architecture to generate multi-hop answers to open domain questions that require information from texts and tables, using the Open Table-and-Text Questi…
A RAG-Based Institutional Assistant
Gustavo Kuratomi, Paulo Pirozelli, Fabio G. Cozman +1
Although large language models (LLMs) demonstrate strong text generation capabilities, they struggle in scenarios requiring access to structured knowledge bases or specific documen…
Infusing Prompts with Syntax and Semantics
Anton Bulle Labate, Fabio Gagliardi Cozman
Despite impressive success, language models often generate outputs with flawed linguistic structure. We analyze the effect of directly infusing various kinds of syntactic and seman…
Assessing Logical Reasoning Capabilities of Encoder-Only Transformer Models
Paulo Pirozelli, Marcos M. José, Paulo de Tarso P. Filho +2
Logical reasoning is central to complex human activities, such as thinking, debating, and planning; it is also a central component of many AI systems as well. In this paper, we inv…
Assessing Good, Bad and Ugly Arguments Generated by ChatGPT: a New Dataset, its Methodology and Associated Tasks
Victor Hugo Nascimento Rocha, Igor Cataneo Silveira, Paulo Pirozelli +2
The recent success of Large Language Models (LLMs) has sparked concerns about their potential to spread misinformation. As a result, there is a pressing need for tools to identify…