17 citations · 21 across the 5 of their papers we have counts for
5 papers
Automated test generation to evaluate tool-augmented LLMs as conversational AI agents
Samuel Arcadinho, David Aparicio, Mariana Almeida
Tool-augmented LLMs are a promising approach to create AI agents that can have realistic conversations, follow procedures, and call appropriate functions. However, evaluating them…
Natural language to SQL in low-code platforms
Sofia Aparicio, Samuel Arcadinho, João Nadkarni +5
One of the developers' biggest challenges in low-code platforms is retrieving data from a database using SQL queries. Here, we propose a pipeline allowing developers to write natur…
RWKV: Reinventing RNNs for the Transformer Era
Bo Peng, Eric Alcaide, Quentin Anthony +31
Transformers have revolutionized almost all natural language processing (NLP) tasks but suffer from memory and computational complexity that scales quadratically with sequence leng…
T5QL: Taming language models for SQL generation
Samuel Arcadinho, David Aparício, Hugo Veiga +1
Automatic SQL generation has been an active research area, aiming at streamlining the access to databases by writing natural language with the given intent instead of writing SQL.…
Time Series Imputation
Samuel Arcadinho, Paulo Mateus
Multivariate time series is a very active topic in the research community and many machine learning tasks are being used in order to extract information from this type of data. How…