3 citations · 9 across the 7 of their papers we have counts for
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cs.IR2024★ 1 cited
Enhancing Q&A Text Retrieval with Ranking Models: Benchmarking, fine-tuning and deploying Rerankers for RAG
Gabriel de Souza P. Moreira, Ronay Ak, Benedikt Schifferer +3
Ranking models play a crucial role in enhancing overall accuracy of text retrieval systems. These multi-stage systems typically utilize either dense embedding models or sparse lexi…
cs.IR2024★ 3 cited
NV-Retriever: Improving text embedding models with effective hard-negative mining
Gabriel de Souza P. Moreira, Radek Osmulski, Mengyao Xu +3
Text embedding models have been popular for information retrieval applications such as semantic search and Question-Answering systems based on Retrieval-Augmented Generation (RAG).…