RAGE Against the Machine: Retrieval-Augmented LLM Explanations
May 11, 2024 ยท Declared Dead ยท ๐ IEEE International Conference on Data Engineering
"No code URL or promise found in abstract"
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Authors
Joel Rorseth, Parke Godfrey, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta
arXiv ID
2405.13000
Category
cs.CL: Computation & Language
Cross-listed
cs.AI,
cs.IR
Citations
10
Venue
IEEE International Conference on Data Engineering
Last Checked
3 months ago
Abstract
This paper demonstrates RAGE, an interactive tool for explaining Large Language Models (LLMs) augmented with retrieval capabilities; i.e., able to query external sources and pull relevant information into their input context. Our explanations are counterfactual in the sense that they identify parts of the input context that, when removed, change the answer to the question posed to the LLM. RAGE includes pruning methods to navigate the vast space of possible explanations, allowing users to view the provenance of the produced answers.
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