FATHOMS-RAG: A Framework for the Assessment of Thinking and Observation in Multimodal Systems that use Retrieval Augmented Generation

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Authors: Samuel Hildebrand, Curtis Taylor, Sean Oesch, James Ghawaly, Amir Sadovnik, Ryan Shivers, Brandon Schreiber, Kevin Tom Kurian
Cited by: 0
References: 17

Abstract

Dataset and Evaluation code for the FATHOMS-RAG paper

Fields of Study & Subjects

Topic Modeling Multimodal Machine Learning Applications Computational and Text Analysis Methods

Publication details

Journal / source
2026 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW)
Publisher
IEEE
Pages
298–302
Publication date
18 May 2026
Language
EN