20 citations · 27 across the 8 of their papers we have counts for
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cs.CL2024
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…
cs.CL2024★ 2 cited
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…