English

Knowledge-Aware Diverse Reranking for Cross-Source Question Answering

Computation and Language 2025-06-26 v1 Information Retrieval

Abstract

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.

Cite

@article{arxiv.2506.20476,
  title  = {Knowledge-Aware Diverse Reranking for Cross-Source Question Answering},
  author = {Tong Zhou},
  journal= {arXiv preprint arXiv:2506.20476},
  year   = {2025}
}
R2 v1 2026-07-01T03:33:06.625Z