文章链接:REPLUG: Retrieval-Augmented Black-Box Language Models 一、研究问题 之前检索增强的方法需要访问lm的内部表示(需要训练lm等),很难应用到比较大的lm中,计算量会非常大,或是仅仅提供api的lm不能访问内部。 本文提出了一个新的检索增强的框架RePlug(Retrieve and Plug),把检索组件作为即插即用的插件,其中l...
We introduce REPLUG, a retrieval-augmented language modeling framework that treats the language model (LM) as a black box and augments it with a tuneable retrieval model. Unlike prior retrieval-augmented LMs that train language models with special cross attention mechanisms to encode the retrieved ...
[2301.12652] REPLUG: Retrieval-Augmented Black-Box Language Models 本文的主要思路就是固定LM(文中称之为black-box LM),联合训练retrieval model,其中REPLUG为retrieve and plug 本文提出两种REPLUG&REPLUG LSR(REPLUG with LM-supervised retrieval) REPLUG 给定输入上下文,REPLUG首先使用retriever从外部数据检索top-k...
REPLUG: Retrieval-Augmented Black-Box Language Models Weijia Shi, Sewon Min, Michihiro Yasunaga, Minjoon Seo, Rich James, M. Lewis, Luke Zettlemoyer, Wen-tau Yih 2023 Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering ...
Large Language Models (LLMs) play powerful, black-box readers in the retrieve-then-read pipeline, making remarkable progress in knowledge-intensive tasks. This work introduces a new framework, Rewrite-Retrieve-Read instead of the previous retrieve-then-read for the retrieval-augmented LLMs from the...
REPLUG: Retrieval-Augmented Black-Box Language Models Weijia Shi, Sewon Min, Michihiro Yasunaga, Minjoon Seo, Rich James, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih arXiv – Jan 2023 [paper] In-Context Retrieval-Augmented Language Models ...
Retrieve Anything To Augment Large Language Models Replug: Retrieval-augmented black-box language models When Language Model Meets Private Library EditSum: {A} Retrieve-and-Edit Framework for Source Code Summarization Synchromesh: Reliable Code Generation from Pre-trained Language Models ...
Their approach – Retrieval Augmented Fine Tuning – attempts to get the model to study or adapt to a domain before it is used in a RAG setup. Using Meta Llama 2 7B language model, they first prepare a synthetic dataset where each data sample consists of: ...
First of all, if you are asking something related to Blazor, there is no need to give the LM details about a session that is completely out of scope: it will not help the LM to answer and could actually make the answer less precise (see: “Lost in the Middle: How Language Models Us...
论文地址: Retrieval-Augmented Generation for Large Language Models: A Survey | PPT 注: 主要是了解RAG的发展过程(召回率),以及对相关子模块领域的现阶段了解,如果感兴趣,通过索引到论文引用处进一步了解。(提高看相应论文的准确率) 第1章:引言 大型语言模型(LLMs)如GPT系列和LLama系列在自然语言处理方面取得...