GRAMMAR: Grounded and Modular Evaluation of Domain-Specific Retrieval-Augmented Language Models

arXiv:2404.19232v1 Announce Type: new
Abstract: Retrieval-augmented Generation (RAG) systems have been actively studied and deployed across various industries to query on domain-specific knowledge base. However, evaluating these systems presents unique challenges due to the scarcity of domain-specific queries and corresponding ground truths, as well as a lack of systematic approaches to diagnosing the cause of failure cases -- whether they stem from knowledge deficits or issues related to system robustness. To address these challenges, we introduce GRAMMAR (GRounded And Modular …

abstract arxiv challenges cs.ai cs.cl domain evaluation grammar however industries knowledge knowledge base language language models modular queries query rag retrieval retrieval-augmented systems type unique