5 papers
An LLM-Based System for Argument Mining
Paulo Pirozelli, Victor Hugo Nascimento Rocha, Fabio G. Cozman +1
Arguments are a fundamental aspect of human reasoning, in which claims are supported, challenged, and weighed against one another. We present an end-to-end large language model (LL…
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…
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…