Towards End-to-End Model-Agnostic Explanations for RAG Systems

Fuente: arXiv
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Main Authors: Sudhi, Viju, Bhat, Sinchana Ramakanth, Rudat, Max, Teucher, Roman, Flores-Herr, Nicolas
Format: Preprint
Published: 2025
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author Sudhi, Viju
Bhat, Sinchana Ramakanth
Rudat, Max
Teucher, Roman
Flores-Herr, Nicolas
author_facet Sudhi, Viju
Bhat, Sinchana Ramakanth
Rudat, Max
Teucher, Roman
Flores-Herr, Nicolas
contents Retrieval Augmented Generation (RAG) systems, despite their growing popularity for enhancing model response reliability, often struggle with trustworthiness and explainability. In this work, we present a novel, holistic, model-agnostic, post-hoc explanation framework leveraging perturbation-based techniques to explain the retrieval and generation processes in a RAG system. We propose different strategies to evaluate these explanations and discuss the sufficiency of model-agnostic explanations in RAG systems. With this work, we further aim to catalyze a collaborative effort to build reliable and explainable RAG systems.
format Preprint
id arxiv_https___arxiv_org_abs_2509_07620
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Towards End-to-End Model-Agnostic Explanations for RAG Systems
Sudhi, Viju
Bhat, Sinchana Ramakanth
Rudat, Max
Teucher, Roman
Flores-Herr, Nicolas
Information Retrieval
Retrieval Augmented Generation (RAG) systems, despite their growing popularity for enhancing model response reliability, often struggle with trustworthiness and explainability. In this work, we present a novel, holistic, model-agnostic, post-hoc explanation framework leveraging perturbation-based techniques to explain the retrieval and generation processes in a RAG system. We propose different strategies to evaluate these explanations and discuss the sufficiency of model-agnostic explanations in RAG systems. With this work, we further aim to catalyze a collaborative effort to build reliable and explainable RAG systems.
title Towards End-to-End Model-Agnostic Explanations for RAG Systems
topic Information Retrieval
url https://arxiv.org/abs/2509.07620