Enhancing Q&A Text Retrieval with Ranking Models: Benchmarking, fine-tuning and deploying Rerankers for RAG

12 September 2024

Papers citing "Enhancing Q&A Text Retrieval with Ranking Models: Benchmarking, fine-tuning and deploying Rerankers for RAG"

5 / 5 papers shown

Title
Can LLMs Be Trusted for Evaluating RAG Systems? A Survey of Methods and Datasets Lorenz Brehme Thomas Ströhle Ruth Breu 65 0 0 28 Apr 2025
FinSage: A Multi-aspect RAG System for Financial Filings Question Answering Xinyu Wang Jijun Chi Zhenghan Tai Tung Sum Thomas Kwok Muzhi Li ... Suyuchen Wang Yihong Wu Jerry Huang Jingrui Tian Ling Zhou 76 0 0 20 Apr 2025
CCSK:Cognitive Convection of Self-Knowledge Based Retrieval Augmentation for Large Language Models Jianling Lu Mingqi Lv Tieming Chen RALM 45 0 0 07 Apr 2025
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models Nandan Thakur Nils Reimers Andreas Rucklé Abhishek Srivastava Iryna Gurevych VLM 231 966 0 17 Apr 2021
Overview of the TREC 2019 deep learning track Nick Craswell Bhaskar Mitra Emine Yilmaz Daniel Fernando Campos E. Voorhees 180 465 0 17 Mar 2020