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  2. Promoting
  • A Diversity-Promoting Objective Function for Neural Conversation Models

    该论文提出了基于最大互信息(Maximum Mutual Information—MMI)的期望计算思想。传统的生成模型计算方式是:targetargmax&#x
    objectivePromotingDiversityfunctionModels
    admin7月前
    510
  • A Diversity-Promoting Objective Function for Neural Conversation Models论文阅读笔记

    本文是李纪为的论文“A Diversity-Promoting Objective Function for Neural Conversation Models”阅读笔记。违章提出使用MMI代替原始的maximum likelihood作
    笔记论文objectivePromotingDiversity
    admin7月前
    520
  • A Diversity-Promoting Objective Function for Neural Conversation

    本篇分享的文章是前一篇分享A Persona-Based Neural Conversation Model的pre-paper,题目是A Diversity-Promoting Objective Function
    objectivePromotingDiversityConversationneural
    admin7月前
    610
  • A Diversity-Promoting Objective Function for Neural Conversation Models 论文阅读零散笔记

    A Diversity-Promoting Objective Function for Neural Conversation Models SEQ2SEQ模型用于conversational responses倾向于产生safe&am
    零散笔记论文objectivePromoting
    admin7月前
    510
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