FeB4RAG: Evaluating Federated Search in the Context of Retrieval
Augmented Generation

FeB4RAG: Evaluating Federated Search in the Context of Retrieval Augmented Generation

19 February 2024

Ekaterina Khramtsova

Shengyao Zhuang

Guido Zuccon

Papers citing "FeB4RAG: Evaluating Federated Search in the Context of Retrieval Augmented Generation"

6 / 6 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
Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Qianren Mao Qili Zhang Hanwen Hao Zhentao Han Runhua Xu ... Jing Chen Yangqiu Song Jin Dong Jianxin Li Philip S. Yu 73 1 0 27 Apr 2025
Knowledge Augmentation in Federation: Rethinking What Collaborative Learning Can Bring Back to Decentralized Data Wentai Wu Ligang He Saiqin Long Ahmed M. Abdelmoniem Yingliang Wu Rui Mao 60 0 0 05 Mar 2025
From Local to Global: A Graph RAG Approach to Query-Focused Summarization Darren Edge Ha Trinh Newman Cheng Joshua Bradley Alex Chao Apurva Mody Steven Truitt Dasha Metropolitansky Robert Osazuwa Ness Jonathan Larson RALM 145 343 0 20 Feb 2025
Evaluation of Retrieval-Augmented Generation: A Survey Hao Yu Aoran Gan Kai Zhang Shiwei Tong Qi Liu Zhaofeng Liu 3DV 62 82 0 13 May 2024
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models Nandan Thakur Nils Reimers Andreas Rucklé Abhishek Srivastava Iryna Gurevych VLM 237 971 0 17 Apr 2021