Large Language Models (LLMs) have recently been applied to time series forecasting via prompt-based inference, yet their evaluation remains limited by potential benchmark contamination and an overemphasis on accuracy. We introduce a systematic benchmark that evaluates LLMs across accuracy, efficiency, cost, and environ...
Zairo Bastos, Fernanda Scarcela, Wesley Barbosa et al.· International Conference on...· 0 citations
Relational database queries depend on SQL and prior knowledge of the schema. This work proposes SABRE, a plain-text search architecture for relational databases based on the vectorization of tuples and queries and on retrieval by semantic similarity. The evaluation used a pilot study for selecting the embedding model a...
Mikael Sales, M. Duarte, Wellington Franco et al.· Brazilian Symposium on Datab...· 0 citations
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