74 citations · 78 across the 7 of their papers we have counts for
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cs.IR2025
VoxRAG: A Step Toward Transcription-Free RAG Systems in Spoken Question Answering
Zackary Rackauckas, Julia Hirschberg
We introduce VoxRAG, a modular speech-to-speech retrieval-augmented generation system that bypasses transcription to retrieve semantically relevant audio segments directly from spo…
cs.IR2024★ 4 cited
Evaluating RAG-Fusion with RAGElo: an Automated Elo-based Framework
Zackary Rackauckas, Arthur Câmara, Jakub Zavrel
Challenges in the automated evaluation of Retrieval-Augmented Generation (RAG) Question-Answering (QA) systems include hallucination problems in domain-specific knowledge and the l…
cs.IR2024★ 74 cited
RAG-Fusion: a New Take on Retrieval-Augmented Generation
Zackary Rackauckas
Infineon has identified a need for engineers, account managers, and customers to rapidly obtain product information. This problem is traditionally addressed with retrieval-augmente…