这些“知识”可以通过不同的表示方法学习到有效的知识表示,用于增强文本生成任务的生成效果,这就被称为知识增强的文本生成(Knowledge-Enhanced Text Generation)。因此,知识增强的文本生成主要有两个难点:如何获取有用的知识(图1 Information Sources),以及如何理解并借助知识促进文本生成(图1 Methods)。接下来的内容将主...
2. Knowledge-Enhanced Memory Networks的基本知识 Knowledge-Enhanced Memory Networks(知识增强记忆网络)是一种结合外部知识库信息来提升模型性能的方法。记忆网络通过显式设置存储槽来存储和更新外部知识,这些存储槽通过键(Key)和值(Value)对来表示。在序列化推荐中,知识增强记忆网络可以用于捕捉用户对于商品属性的细粒度...
In this paper, we aim to enhance the capabilities of large language models in short-text expansion through knowledge graphs and propose the knowledge-enhanced and prompt-aware large language models. First, we construct a multi-dimensional knowledge graph that includes semantics, sentiment, and topics...
After the consolidation phase, the complete knowledge-enhanced model can be fine-tuned for any downstream task of interest to achieve optimal performance . Extensive experiments on many biomedical NLP datasets show that our proposed framework consistently improves the performance of the underlying PLMs ...
Knowledge-Enhanced LLMs with Retrieval-Augmented Generation-徐海琳, 视频播放量 131、弹幕量 0、点赞数 2、投硬币枚数 2、收藏人数 3、转发人数 1, 视频作者 LLM4EDA暑期学校-复旦, 作者简介 ,相关视频:【2025版】这可能是B站唯一DeepSeek本地部署+构建企业级私有知识
在这项工作中,受深度学习快速发展的启发,作者提出了一个新的神经架构,称为KenMeSH(Knowledge-enhanced MeSH labelling),它适合处理标签分层排列的XMC问题,并可以作为一个有向图来捕获有用的信息。该方法使用一个动态的知识增强的掩码注意机制,并将文档特征与标签特征一起纳入生物医学文章的索引。本文的主要贡献是: 设...
Knowledge-Enhanced Pre-trained Models. While trans- formers benefit from pre-training on large-scale data, many attempts have been adding knowledge to guide them to focus on key elements during learning. For language-based tasks, knowledge-enhanced mod...
Specifically, we propose a new method named Knowledge-Enhanced Multi-Task Parallelized Recommendation Algorithm Incorporating Attention-Embedded Propagation (KMPR-AEP), which is equipped with two tasks to correspondingly address the challenges in KGR. (1) Recommendation task, which learns users and ...
2. First, each instance sij in the support set and the query instance q wrapped by the knowledge-enhanced prompt template T(⋅) are input into MLM for encoding to obtain the hidden embedding h[MASK] of [MASK] in each instance. Second, external knowledge is utilized to enrich label ...
【AAAI'21】Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation 10 个月前 逍遥游 一蓑烟雨任平生关注一、论文概述 问题提出——现有工作中,大部分都以一种相对独立和局部的方式考虑多类型交互 (e.g., singular dimensional cascading correlations),很难捕捉跨用户和项目的高...