Q-PEFT: Query-dependent Parameter Efficient Fine-tuning for Text Reranking with Large Language Models

6 April 2024

Papers citing "Q-PEFT: Query-dependent Parameter Efficient Fine-tuning for Text Reranking with Large Language Models"

6 / 6 papers shown

Title
Understanding Layer Significance in LLM Alignment Guangyuan Shi Zexin Lu Xiaoyu Dong Wenlong Zhang Xuanyu Zhang Yujie Feng Xiao-Ming Wu 45 2 0 23 Oct 2024
Discrete Prompt Optimization via Constrained Generation for Zero-shot Re-ranker Sukmin Cho Soyeong Jeong Jeongyeon Seo Jong C. Park OffRL 54 23 0 23 May 2023
Parameter-Efficient Sparse Retrievers and Rerankers using Adapters Vaishali Pal Carlos Lassance Hervé Déjean S. Clinchant 41 3 0 23 Mar 2023
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 278 3,784 0 18 Apr 2021
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models Nandan Thakur Nils Reimers Andreas Rucklé Abhishek Srivastava Iryna Gurevych VLM 229 961 0 17 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 57 163 0 14 Jan 2021