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2024/01/30 · This paper constructs a large-scale and more comprehensive benchmark, and evaluates all the components of RAG systems in various RAG application scenarios.
This project fully supports the Chinese RAG system evaluation, which includes native Chinese datasets, evaluation tasks, and baseline models; ...
2024/02/19 · This paper constructs a large-scale and more comprehensive benchmark, and evaluates all the components of RAG systems in various RAG application scenarios.
This paper constructs a large-scale and more comprehensive benchmark, and evaluates all the components of RAG systems in various RAG application scenarios.
CRUD-RAG: Evaluating RAG in Chinese LLMs - GoatStack.AI
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The research paper CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models by Yuanjie Lyu et al.
2024/01/31 · Retrieval-Augmented Generation (RAG) is a technique that enhances the capabilities of large language models (LLMs) by incorporating external ...
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2024/06/02 · 本研究では、知識集約型アプリケーションにおけるRAG（Retrieval-Augmented Generation）システムの性能を評価するために、CRUD-RAGベンチマークから選択 ...
要点 · 全面支持中文RAG Benchmark评测，包括原生的中文数据集、评测任务、主流基座测试； · 覆盖CRUD(增删改查)，即大模型信息新增能力、信息缩减能力、信息校正能力、信息查询 ...
Retrieval-Augmented Generation (RAG) offers a cost-effective approach to injecting real-time knowledge into large language models (LLMs). Question Answering ...
2024/09/01 · CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models … github.com · CRUD-RAG: A ...
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