RankLLaMA
Stub. Created as a placeholder — expand with vault-sourced content.
Definition
RankLLaMA is a LLaMA-based pointwise reranker (from the RepLLaMA/RankLLaMA line, Tevatron) — a decoder LLM fine-tuned to score query-document relevance, representing the LLM-reranker end of the cost/quality spectrum.
Vault references (existing coverage)
- Learning to Rank — listed under “Neural LTR”
TODO
- Cite the source paper; contrast with prompt-based RankGPT (no fine-tuning).