一作ACL 2026Findings· Findings of ACL
P ro R ank: Prompt Warmup via Reinforcement Learning for Small Language Models Reranking
Xianming LI · Aamir Shakir · Rui Huang · Julius Lipp · Benjamin Clavié · Jing Li
摘要
Reranking is fundamental to information retrieval and retrieval-augmented generation, with recent Large Language Models (LLMs) significantly advancing reranking quality. Most current works rely on large-scale LLMs (>7B parameters), presenting high computational costs. Small Language Models (SLMs)...