LLMs as Effective Text Rankers

Pairwise ranking prompt: Uses pairwise prompting (A vs. B) rather than pointwise scoring, which aligns better with LLM reasoning strengths.

Open-source SOTA: Achieves state-of-the-art text ranking on standard benchmarks using only open-weight LLMs - no proprietary API required.

Retrieval pipeline fit: Designed to slot into existing retrieval pipelines as a re-ranker stage.

RAG infrastructure: Influenced 2024's RAG reranker ecosystem, with LLM-based reranking becoming standard in production retrieval stacks.