Parametric Retrieval Augmented Generation (Parametric RAG)参数化检索增强生成 这个方法直接将外部知识注入到LLM的反馈网络中,这种方法首先进行离线预处理,将外部语料库中的每一篇文档转化为一个小型的参数表示,这种表示形式被称为文档的参数化表示。这些参数可以直接用于后续的LLM推理。在模型推理阶段,该方法遵循一个称为...
论文名称: Parametric Retrieval Augmented Generation 第一作者: 清华大学 论文链接: https://arxiv.org/abs/2501.15915 发表日期: 2025年1月27日 GitHub:https://github.com/oneal2000/PRAG.git 你好,我是唐国梁Tommy,专注于分享AI前沿技术。 欢迎你加入我的精品课程《深入LLM与RAG 原理、实现与应用》。本课程将...
Soundararajan Srinivasan, Wenlong Zhao, Shreyas Chaudhari, Ehsan Aghazadeh EMNLP 2024, BlackBox NLP workshop|November 2024 Download BibTex Retrieval Augmented Generation (RAG) is a widely used approach for leveraging external context in s...
Ehsan Aghazadeh, Reshmi Ghosh ArXiv|June 2024, Vol abs/2406.12824 Publication|Publication Retrieval Augmented Generation (RAG) enriches the ability of language models to reason using external context to augment responses for a giv...
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. 2020. [paper] Generalization through Memorization: Nearest Neighbor Language Models. ICLR,2020. [paper] Nearest Neighbor Machine Translation. ICLR,2021. [paper] BERT-kNN: Adding a kNN Search Component to Pretrained Language Models for Be...
This scientific article describes a modification of the Retrieval Augmented Generation (RAG) method aimed at increasing the emotional content of model responses without supervised fine-tuning. In this model, RAG is not used to expand tex... E Vologina,A Matveeva,O Makhnytkina,... - Internationa...
According to this disclosure, the “usage constraint”606in the accessor usage profile (FIG. 6) described above is augmented to include one or more parametric-sensitive transaction weightings. As noted above, typically an accessor usage profile will include multiple transaction weighting of this type...
论文名称: Parametric Retrieval Augmented Generation 第一作者: 清华大学 论文链接: https://arxiv.org/abs/2501.15915 发表日期: 2025年1月27日 GitHub:https://github.com/oneal2000/PRAG.git 你好,我是唐国梁Tommy,专注于分享AI前沿技术。 欢迎你加入我的精品课程《深入LLM与RAG 原理、实现与应用》。本课程将...
Each backbone is augmented with dedicated fully-connected layers, subsequently combined through a parametric fusion mechanism to construct the complete parallel TCN framework. The comprehensive network topology is illustrated in Figure 8. Figure 8. Network framework using parametric TCNs, where the input ...
Each backbone is augmented with dedicated fully-connected layers, subsequently combined through a parametric fusion mechanism to construct the complete parallel TCN framework. The comprehensive network topology is illustrated in Figure 8. Figure 8. Network framework using parametric TCNs, where the input ...