一作ACL 2026Poster· Natural Language Processing
Are LLM s Reliable Rankers? Rank Manipulation via Two-Stage Token Optimization
Tiancheng Xing · Jerry Li · Yixuan Du · Xiyang Hu
摘要
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 R ank A nything F irst (RAF), a two-stage token optimization method that crafts concise...