Howcan we adapt a retrieval-based LM for a task? Whenshould we use a retrieval-based LM? 针对How,目前主要的求解范式可以被分为:Fine-tuning,Reinforcement learning,Prompting;并且这三者可同时出现并利用,具体形式如下所示: How can we adapt a retrieval-based LM for a task? 虽然Fine-tuning与Reinfor...
如果你看过SimCSE,那么就可以跳过这部分。 基于contrastive learning的思想,模型选择双塔双塔BERT,使用in-batch training的方式进行训练,获取数据集合对应的embedding,然后使用FAISS建立索引。损失函数如下: L(qi,pi+,pi,1−,...,pi,n−)=−logesim(qi,pi+)esim(qi,pi+)+∑j=1nesim(qi,pi,j−) 样本...
Revolutionizing data platforms with NVIDIA NeMo Retriever Recognizing the challenges and requirements of building these pipelines,NVIDIA introducedtwo new community-based NeMo Retriever microservices for world-class multilingual and cross-lingual text retrieval that are built on NVIDIA NIM....
Dense Text Retrieval based on Pretrained Language Models: A Survey Wayne Xin Zhao, Jing Liu, Ruiyang Ren, Ji-Rong Wen TOIS – Dec 2023 [paper] Retrieval-Augmented Generation for Large Language Models: A Survey Yunfan Gao, Yun Xiong, Xinyu Gao, Kangxiang Jia, Jinliu Pan, Yuxi Bi, Yi Dai...
Content-based audio classification and retrieval using a fuzzy logic system towards multimedia search engines 热度: ACL 2023 Tutorial - Retrieval-based Language Models and Applications -Section 5 Retrieval-based LMs - Applications 热度: Model of User Profiles and Personalization for Web-Based Information...
This paper proposes a Long-term knowledge-based Multimedia retrieval System (LMS) based on Latent Semantic Indexing (LSI) and human interaction (RF). Experiments show the effectiveness of the proposed system.doi:10.1504/IJASS.2007.019304Xin Chen...
The structure of this code is based on nano-graphrag. 🎉 News [2025.01.06]🎯📢LightRAG now supports PostgreSQL for Storage. [2024.12.31]🎯📢LightRAG now supports deletion by document ID. [2024.11.25]🎯📢LightRAG now supports seamless integration of custom knowledge graphs, ...
[Privacy implications of retrieval-based language models] 探讨了基于检索的语言模型的隐私风险,kNN-LMs [Generalization through memorization: Nearest neighbor language models]。 研究发现,与语言模型等参数化模型相比,kNN-LMs 更容易从其私有数据存储中泄露私人信息。 为了减轻隐私风险,当私人信息明确存在时,简单的...
本文主要是对ACL 2023 Tutorial: Retrieval-based Language Models and Applications部分的Section 3: Retrieval-based LMs: Architecture进行梳理总结 Roadmap 检索式LM的分类 nearest-neighbor LM retrieve and read model 具体可从如下三方面考虑: 检索什么内容?
How to adapt a retrieval-based LM for a task Fine-tuning Reinforcement learning Prompting When to use a retrieval-based LM 长尾:针对长尾效果欠佳(long tail) Large Language Models Struggle to Learn Long-Tail Knowledge When Not to Trust Language Models: Investigating Effectiveness of Parametric and ...