Synthetic Typo Injection Scale and Zero-Shot Dense Retrieval Accuracy on BEIR Low-Resource Domains

Abstract

Abstract: Zero-shot evaluation of information retrieval (IR) models is often performed using BEIR; a large and heterogeneous benchmark composed of multiple datasets, covering different retrieval tasks across various domains. Although BEIR has become a standard benchmark for the zero-shot setup, its exclusively English content reduces its utility for underrepresented languages in IR, including Dutch. To address this limitation and encourage the development of Dutch IR models, we introduce BEIR-NL by automatically translating the publicly accessible BEIR datasets into Dutch. Using BEIR-NL, we evaluated a

Research Question

What is the relationship between the size of synthetic typo injections during adversarial training and the zero-shot retrieval accuracy of dense retrievers on BEIR, particularly in low-resource domains?

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