3 papers
cs.IR2025
Multimodal semantic retrieval for product search
Dong Liu, Esther Lopez Ramos
Semantic retrieval (also known as dense retrieval) based on textual data has been extensively studied for both web search and product search application fields, where the relevance…
cs.CL2025
MEMERAG: A Multilingual End-to-End Meta-Evaluation Benchmark for Retrieval Augmented Generation
María Andrea Cruz Blandón, Jayasimha Talur, Bruno Charron +3
Automatic evaluation of retrieval augmented generation (RAG) systems relies on fine-grained dimensions like faithfulness and relevance, as judged by expert human annotators. Meta-e…
cs.IR2025
Hierarchical Multi-field Representations for Two-Stage E-commerce Retrieval
Niklas Freymuth, Dong Liu, Thomas Ricatte +1
Dense retrieval methods typically target unstructured text data represented as flat strings. However, e-commerce catalogs often include structured information across multiple field…