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20212025
most citedTransformers with multi-modal features and post-fusion context for e-commerce session-based recommendation

9 citations · 14 across the 6 of their papers we have counts for

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2 papers · 1 filter

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).…