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Sixing Wu1, Jiong Yu1, Jiahao Chen1

  • 1National Pilot School of Software, Yunnan University, Kunming, 650504, Yunnan, China; Engineering Research Center of Cyberspace, Yunnan University, Kunming, 650504, Yunnan, China.

概括

本研究介绍了Traverse in Language Model (TiLM),一种通过在语言模型本身中创建知识子图来生成信息对话响应的新方法,避免外部知识库.

相关概念视频

Natural and Artificial Concepts01:24

Natural and Artificial Concepts

In psychology, concepts can be divided into two categories: natural and artificial. Natural concepts are formed through direct or indirect experiences. For example, consider the concept of snow. If you live in a place with regular snowfall, such as Essex Junction, Vermont, you know snow through direct experiences. You’ve seen it fall, touched it, shoveled it, and played in it. You recognize its texture, appearance, and even its smell. In contrast, if you live on an island like Saint...
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Deductive Reasoning01:16

Deductive Reasoning

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Inductive Reasoning00:59

Inductive Reasoning

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Woodward–Hoffmann Selection Rules and Microscopic Reversibility01:34

Woodward–Hoffmann Selection Rules and Microscopic Reversibility

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The Representativeness Heuristic02:13

The Representativeness Heuristic

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Reasoning01:30

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Reasoning is the action of thinking about something in a logical, sensible way. It is integral to problem-solving, decision-making, and critical thinking. Reasoning can be inductive or deductive. Reasoning involves transforming information into conclusions, which is essential for problem-solving, decision-making, and critical thinking.
Inductive reasoning involves deriving generalizations from specific observations. This type of reasoning helps form beliefs about the world. For example,...
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