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Lighting the Way for BRIGHT: Reproducible Baselines with Anserini, Pyserini, and RankLLM

arXiv:2509.02558v2 Announce Type: replace Abstract: Retrieval benchmarks for large language models (LLMs) should reflect the long, reasoning-intensive queries typical of retrieval-augmented generation (RAG). We present a systematic study of BRIGHT, a reasoning-focused retrieval benchmark, along with strong, reproducible reference methods integrated into Anserini, Pyserini, and RankLLM. We evaluate lexical, sparse, dense, and fusion-based retrievers, as well as LLM rerankers, under long-query...

arXiv CS 8d ago