arXiv:2506.20476
Knowledge-Aware Diverse Reranking for Cross-Source Question Answering
원문 초록
This paper presents Team Marikarp's solution for the SIGIR 2025 LiveRAG competition. The competition's evaluation set, automatically generated by DataMorgana from internet corpora, encompassed a wide range of target topics, question types, question formulations, audience types, and knowledge organization methods. It offered a fair evaluation of retrieving question-relevant supporting documents from a 15M documents subset of the FineWeb corpus. Our proposed knowledge-aware diverse reranking RAG pipeline achieved first place in the competition.
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TableRAG: A Retrieval Augmented Generation Framework for Heterogeneous Document Reasoning
Constructing and Evaluating Declarative RAG Pipelines in PyTerrier
Learning Efficient and Generalizable Graph Retriever for Knowledge-Graph Question Answering
Bridging the Gap Between Open-Source and Proprietary LLMs in Table QA
토론
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