A hybrid BM25-plus-dense RAG system finished 4th in faithfulness and 11th in correctness at LiveRAG 2025, and its analysis found vocabulary alignment between questions and documents to be the most important performance factor.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Evaluating Hybrid Retrieval Augmented Generation using Dynamic Test Sets: LiveRAG Challenge
A hybrid BM25-plus-dense RAG system finished 4th in faithfulness and 11th in correctness at LiveRAG 2025, and its analysis found vocabulary alignment between questions and documents to be the most important performance factor.