Optimizing Compound Retrieval Systems

16 April 2025

Papers citing "Optimizing Compound Retrieval Systems"

7 / 7 papers shown

Title
Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators Yinhong Liu Han Zhou Zhijiang Guo Ehsan Shareghi Ivan Vulić Anna Korhonen Nigel Collier ALM 171 83 0 20 Jan 2025
Efficient LLM Comparative Assessment: a Product of Experts Framework for Pairwise Comparisons Adian Liusie Vatsal Raina Yassir Fathullah Mark Gales 81 11 0 09 May 2024
Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting Zhen Qin R. Jagerman Kai Hui Honglei Zhuang Junru Wu ... Tianqi Liu Jialu Liu Donald Metzler Xuanhui Wang Michael Bendersky ALM RALM 117 246 0 30 Jun 2023
TREC Deep Learning Track: Reusable Test Collections in the Large Data Regime Nick Craswell Bhaskar Mitra Emine Yilmaz Daniel Fernando Campos E. Voorhees I. Soboroff 58 52 0 19 Apr 2021
The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models Ronak Pradeep Rodrigo Nogueira Jimmy J. Lin MoE 96 172 0 14 Jan 2021
Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender System Jiaxi Tang Ke Wang 64 189 0 19 Sep 2018
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,260 0 22 Dec 2014