1 citations · 1 across the 3 of their papers we have counts for
3 papers
ExaRanker-Open: Synthetic Explanation for IR using Open-Source LLMs
Fernando Ferraretto, Thiago Laitz, Roberto Lotufo +1
ExaRanker recently introduced an approach to training information retrieval (IR) models, incorporating natural language explanations as additional labels. The method addresses the…
InRanker: Distilled Rankers for Zero-shot Information Retrieval
Thiago Laitz, Konstantinos Papakostas, Roberto Lotufo +1
Despite multi-billion parameter neural rankers being common components of state-of-the-art information retrieval pipelines, they are rarely used in production due to the enormous a…
BLUEX: A benchmark based on Brazilian Leading Universities Entrance eXams
Thales Sales Almeida, Thiago Laitz, Giovana K. Bonás +1
One common trend in recent studies of language models (LMs) is the use of standardized tests for evaluation. However, despite being the fifth most spoken language worldwide, few su…