来自AI21的TACL论文:“In-Context Retrieval-Augmented Language Models” 论文地址: https://direct.mit.edu/tacl/article-pdf/doi/10.1162/tacl_a_00605/2178834/tacl_a_00605.pdfCode: https:// github.com/A…
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基于此,在预训练的时代,他通过总结之前的文章将这个过程构想为两个组件,第一个是neural knowledge retriever,用来建模p(z | x),其中x是当前的query,z是要找的辅助性知识;另一个是knowledge-augmented encoder,用来建模p(y | z, x),其中y是answer。 REALM的预训练和finetune 其中,retriver使用方法就是把query...
而这篇论文针对的问题叫开放领域问答(Open-domain QA),对于一个问题Q,模型需要从包含大量文档的知识库中找到答案,而不是像SQuAD数据集一样从一篇文章中寻找。 大部分的语言模型都采用一种称为masked language model,简称MLM的任务来训练,让模型学会类似完形填空一样的能力。通过在大规模语料上的训练,预训练语言模型...
1.(2022,) Few-shot Learning with Retrieval Augmented Language Models https://arxiv.org/pdf/2208.03299.pdf 2.(2022,) Unsupervised dense information retrieval with contrastive learning https://arxiv.org/abs/2112.09118v4 📝论文解读投稿,让你的文章被更多不同背景、不同方向的人看到,不被石沉大海,或...
doi:10.1200/JCO.2024.42.23_suppl.15722157#Background:Clinical trial screening is currently manual and laborious. We tested several large language models enhanced with retrieval-augmented generation (RAG-LLM) to assess their performance on this task.Methods:We extracted eligibility criteria of 184 ...
Google introduced retrieval-augmented language model pre-training in 2020 in a document about usingmasked language models, likeBERT, to perform open-book question answering. This process uses the corpus -- or the collection of data used to train the AI -- of documents with a language model ar...
SUFFIX RETRIEVAL-AUGMENTED LANGUAGE MODELINGZecheng Wang and Yik-Cheung TamNYU ShanghaiDepartment of Computer Science567 West Yangsi Road, Pudong New District, Shanghai 200126, ChinaABSTRACTCausal language modeling (LM) uses word history to predict thenext word. BERT, on the other hand, makes use...
LLM(大型语言模型,Large Language Model)展现出了其强大的能力,但也面临着幻觉、知识过时以及推理过程不透明、无法追踪等诸多挑战。为了应对这些挑战,RAG(检索增强生成,Retrieval-Augmented Generation)应运而生。RAG可以将LLM内在的知识与外部数据库庞大、动态的资源库协同融合,不仅提高了模型的准确性和可信度,还支持持续...
Integrating RAG With Language Models OK, so we know that LLMs sometimes “hallucinate” answers. We know that hallucinations are often the result of outdated information. We also know that there is this thing called Retrieval Augmented Generation that supplements LLMs with updated information. ...