Are LLMs Reliable Rankers? Rank Manipulation Via Two-Stage Token Optimization

Large language models LLMs are increasingly used as rerankers in information retrieval, yet their ranking behavior can be steered by small, natural-sounding prompts. To expose this vulnerability, we present Rank Anything First RAF, a two-stage token optimization method that crafts concise textual...