arxiv:2506.20476

Knowledge-Aware Diverse Reranking for Cross-Source Question Answering

Published on Jun 25

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Abstract

The proposed knowledge-aware diverse reranking RAG pipeline won first place in the SIGIR 2025 LiveRAG competition by effectively retrieving relevant documents from a 15M document subset.

AI-generated summary

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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