Fault localization in retrieval-augmented generation pipelines remains manual and time-consuming; reference-free approach identifies faults across interdependent stages
Read the original at arxiv.org→arXiv:2611.03725v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) pipelines are widely used for domain-specific question answering, yet locating faults remains manual and time-consuming. Fault...
Original headline: "From Logs to Faults: Reference-Free Fault Localization for Retrieval-Augmented Generation Pipelines"
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- Nov 4, 05:00 UTC arXiv cs.AI lead source From Logs to Faults: Reference-Free Fault Localization for Retrieval-Augmented Generation Pipelines