Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting F i n d i n g s - N A A C L

Zhen Qin | Rolf Jagerman | Kai Hui | Honglei Zhuang | Junru Wu | Le Yan | Jiaming Shen | Tianqi Liu | Jialu Liu | Donald Metzler | Xuanhui Wang | Michael Bendersky |

Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels NAACL

Honglei Zhuang | Zhen Qin | Kai Hui | Junru Wu | Le Yan | Xuanhui Wang | Michael Bendersky |

Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing EMNLP

Le Yan | Zhen Qin | Honglei Zhuang | Rolf Jagerman | Xuanhui Wang | Michael Bendersky | Harrie Oosterhuis |