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  • RAG综述:《A Comprehensive Survey of Retrieval-Augmented Generation (RAG)》

    来源于《A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions》
    SurveyComprehensiveRAGGENERATIONAugmented
    admin3月前
    380
  • Comprehensive Overview of Random Number Generation Algorithms

    Comprehensive Overview of Random Number Generation Algorithms: History, Mechanics, and Trade-offsManual Methods (Pre-20t
    RandomOverviewComprehensiveAlgorithmsGENERATION
    admin3月前
    310
  • Retrieval Augmented Generation (RAG): A Comprehensive Visual Walkthrough

    Retrieval Augmented Generation (RAG): A Comprehensive Visual Walkthrough
    GENERATIONAugmentedRetrievalRAGwalkthrough
    admin3月前
    430
  • 【论文阅读】Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach

    结论:LC性能更好(LCM能力一直在持续提升),而RAG的优势在于低成本。为了兼顾低成本和性能,论文提出了一个trade-off方
    论文GENERATIONlongAugmentedcontext
    admin3月前
    390
  • Rise of Kotlin: The Programming Language for the Next Generation

    Rise of Kotlin: The Programming Language for the Next Generation https:hackernoonrise-of-kotlin-the-programming-langu
    kotlinRiseProgrammingGENERATIONlanguage
    admin3月前
    310
  • 论文笔记 StructCoder: Structure-Aware Transformer for Code Generation

    目录 简单介绍 摘要 相关模型结构的比较 本文的贡献 StructCoder模型与设计 符号表示 Code AST   DFG 编码器Encoder 输入编码Input emdedding 具有结构感知力的自注意力机制
    笔记论文StructCoderStructureGENERATION
    admin4月前
    640
  • UIE:Unified Structure Generation for Universal Information Extraction

    论文:https:arxivpdf2203.12277.pdf 作者采用生成式text to structure结构统一了信息抽取的四个任务,并且在13个数据集上采用有监督、低资源和少样本
    StructureUnifiedUIEGENERATIONExtraction
    admin4月前
    540
  • 《论文阅读》PAL: Persona-Augmented Emotional Support Conversation Generation

    《论文阅读》PAL: Persona-Augmented Emotional Support Conversation Generation 前言 简介 思路出发点 相关知识 coefficient of determination 任务定
    论文PersonaPALAugmentedGENERATION
    admin5月前
    250
  • 关于conversation generation的论文笔记

    对话模型此前的研究大致有三个方向:基于规则、基于信息检索、基于机器翻译。基于规则的对话系统,顾名思义,依赖于人们周密设计的规则,对话内容限制在特定领域下
    笔记论文ConversationGENERATION
    admin5月前
    380
  • 【EMNLP2019】Knowledge Aware Conversation Generation with Explainable Reasoning over Augmented Graphs

    p4 in 2019129 论文名称:Knowledge Aware Conversation Generation with Explainable Reasoning over Augmented Graphs
    AwareConversationKnowledgeGENERATIONAugmented
    admin5月前
    300
  • Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs

    论文目的用常识性知识图显式地建模会话流论文方法通过将对话与概念空间联系起来,ConceptFlow将潜在的对话流表示为沿着常识关系在概念空间中遍历。任务描述user输入话语X(有m个单词
    GENERATIONGuidedGroundedConversationKnowledge
    admin5月前
    320
  • EXPLORING THE POTENTIAL OF LARGE LANGUAGE MODELS IN GRAPH GENERATION

    本文是LLM系列文章,针对《EXPLORING THE POTENTIAL OF LARGE LANGUAGE MODELS IN GRAPH GENERATION》的翻译。探讨大型语言模型在图生成中的潜力 摘要 1 引言 2 LLM4
    LARGEpotentialEXPLORINGlanguageGENERATION
    admin5月前
    340
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