标题： 区块：用于高效大语言模型服务的区块链支持的跨库知识共享 显示英文标题

标题： BLOCKS: Blockchain-supported Cross-Silo Knowledge Sharing for Efficient LLM Services

摘要： 大型语言模型（LLMs）的幻觉问题日益引起关注。 将外部知识引入LLMs是一种解决此问题的有前景的方法。 然而，由于隐私和安全问题，大量与下游任务相关的知识仍然分散并孤立在各个“孤岛”中，使得难以访问。 为了弥合这一知识差距，我们提出了一种基于区块链的外部知识框架，协调多个知识孤岛，为大型模型检索提供可靠的基础知识，同时确保数据安全。 技术上，我们将本地数据中的知识提炼为提示，并在区块链上执行交易和记录。 此外，我们引入了声誉机制和交叉验证，以确保知识质量并为参与提供激励。 此外，我们设计了一个查询生成框架，为大型模型检索提供直接的API接口。 为了评估所提出的框架性能，我们在各种知识源上进行了广泛的实验。 结果表明，所提出的框架在区块链环境中实现了高效的LLM服务知识共享。 显示英文摘要

摘要： The hallucination problem of Large Language Models (LLMs) has increasingly drawn attention. Augmenting LLMs with external knowledge is a promising solution to address this issue. However, due to privacy and security concerns, a vast amount of downstream task-related knowledge remains dispersed and isolated across various "silos," making it difficult to access. To bridge this knowledge gap, we propose a blockchain-based external knowledge framework that coordinates multiple knowledge silos to provide reliable foundational knowledge for large model retrieval while ensuring data security. Technically, we distill knowledge from local data into prompts and execute transactions and records on the blockchain. Additionally, we introduce a reputation mechanism and cross-validation to ensure knowledge quality and provide incentives for participation. Furthermore, we design a query generation framework that provides a direct API interface for large model retrieval. To evaluate the performance of our proposed framework, we conducted extensive experiments on various knowledge sources. The results demonstrate that the proposed framework achieves efficient LLM service knowledge sharing in blockchain environments.