Feb. 12, 2024, 5:46 a.m. | Fernando Ferraretto Thiago Laitz Roberto Lotufo Rodrigo Nogueira

cs.CL updates on arXiv.org arxiv.org

ExaRanker recently introduced an approach to training information retrieval (IR) models, incorporating natural language explanations as additional labels. The method addresses the challenge of limited labeled examples, leading to improvements in the effectiveness of IR models. However, the initial results were based on proprietary language models such as GPT-3.5, which posed constraints on dataset size due to its cost and data privacy. In this paper, we introduce ExaRanker-Open, where we adapt and explore the use of open-source language models to …

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