Jove
Visualize
お問い合わせ
JoVE
x logofacebook logolinkedin logoyoutube logo
JoVEについて
概要リーダーシップブログJoVEヘルプセンター
著者向け
出版プロセス編集委員会範囲と方針査読よくある質問投稿
図書館員向け
推薦の声購読アクセスリソース図書館諮問委員会よくある質問
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experimentsアーカイブ
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教員リソースセンター教員サイト
利用規約
プライバシーポリシー
ポリシー

関連する概念動画

Reason and Intuition01:37

Reason and Intuition

7.5K
The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
7.5K
Reasoning01:30

Reasoning

434
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,...
434
Deductive Reasoning01:16

Deductive Reasoning

68.0K
Deductive reasoning, or deduction, is the type of logic used in hypothesis-based science. In deductive reasoning, the pattern of thinking moves in the opposite direction as compared to inductive reasoning, which means that it uses a general principle or law to predict specific results. From those general principles, a scientist can deduce and predict the specific results that would be valid as long as the general principles are valid.
For example, a researcher can deduce specific predictions...
68.0K
Language01:16

Language

906
Language is a unique communication system that uses words and systematic rules to organize and transmit information. Unlike other forms of communication, which may involve postures, movements, odors, or vocalizations, language relies on symbols and grammar. This makes human communication distinct from that of other species, who also communicate but do not use language in the same way humans do.
Corballis and Suddendorf (2007) and Tomasello and Rakoczy (2003) highlight the role of language in...
906
Inductive Reasoning00:59

Inductive Reasoning

67.3K
Inductive reasoning is a form of logical thinking that uses related observations to arrive at a general conclusion. It is uncertain and operates in degrees to which the conclusions are credible. As such, inductive arguments can be weak or strong, rather than valid or invalid, and conclusions can be used to formulate testable, falsifiable hypotheses.
Inductive reasoning is common in descriptive science. A life scientist makes observations and records them. This data can be qualitative or...
67.3K
Self Within Cultural Contexts01:30

Self Within Cultural Contexts

229
Cultural frameworks for understanding the self are often categorized into two broad orientations: individualism and collectivism. These paradigms influence how people define themselves, relate to others, and interpret their social worlds. Each orientation offers distinct perspectives on autonomy, responsibility, and the role of the individual within a community.Individualistic CulturesIn individualistic cultures like North America and Western Europe, identity is understood as autonomous and...
229

こちらも読む

関連記事

共著者、ジャーナル、引用グラフによってこの研究に関連する記事。

並び替え
Same author

Two-dimensional fluorescence in-gel electrophoresis of coronary restenosis tissues in minipigs: increased adipocyte fatty acid binding protein induces reactive oxygen species-mediated growth and migration in smooth muscle cells.

Arteriosclerosis, thrombosis, and vascular biology·2013
Same author

Purification and characterization of mutant miniPlasmin for thrombolytic therapy.

Thrombosis journal·2013
Same author

[Mechanisms of resistance to EML4-ALK inhibitors in non-small cell lung cancer].

Zhongguo fei ai za zhi = Chinese journal of lung cancer·2013
Same author

NK4 gene therapy inhibits HGF/Met-induced growth of human cholangiocarcinoma cells.

Digestive diseases and sciences·2013
Same author

[Low-grade extraskeletal osteosarcoma of mediastinum: report of a case].

Zhonghua bing li xue za zhi = Chinese journal of pathology·2013
Same author

MedTxting: learning based and knowledge rich SMS-style medical text contraction.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2013
Same journal

Visual Self-Refinement for Autoregressive Models.

Findings of ACL. EMNLP. Conference on Empirical Methods in Natural Language Processing·2026
Same journal

README: Bridging Medical Jargon and Lay Understanding for Patient Education through Data-Centric NLP.

Findings of ACL. EMNLP. Conference on Empirical Methods in Natural Language Processing·2026
Same journal

MedCOD: Enhancing English-to-Spanish Medical Translation of Large Language Models Using Enriched Chain-of-Dictionary Framework.

Findings of ACL. EMNLP. Conference on Empirical Methods in Natural Language Processing·2026
Same journal

Using tournaments to calculate AUROC for zero-shot classification with LLMs.

Findings of ACL. EMNLP. Conference on Empirical Methods in Natural Language Processing·2026
Same journal

Large Language Models for Controllable Multi-property Multi-objective Molecule Optimization.

Findings of ACL. EMNLP. Conference on Empirical Methods in Natural Language Processing·2026
Same journal

Multi-label Sequential Sentence Classification via Large Language Model.

Findings of ACL. EMNLP. Conference on Empirical Methods in Natural Language Processing·2026
関連記事をすべて見る

関連する実験動画

Updated: Jan 29, 2026

Exploring the Role of Deontic Reasoning and World Knowledge in Wason´s Selection Task
06:08

Exploring the Role of Deontic Reasoning and World Knowledge in Wason´s Selection Task

Published on: July 22, 2025

927

大規模言語モデルは知識推論のためのコンテキスト内教師である

Jiachen Zhao1, Zonghai Yao2, Zhichao Yang2

  • 1Northeastern University.

Findings of ACL. EMNLP. Conference on Empirical Methods in Natural Language Processing
|January 28, 2026
PubMed
まとめ
この要約は機械生成です。

大規模言語モデル（LLM）は、コンテキスト内教育（ICT）の効果的な教師として機能し、人間のインストラクターを上回ることができます。自己説明とティーチバックの方法は、教師と生徒のモデルの説明を一致させることにより、LLMベースのICTを改善します。

キーワード:
大規模言語モデルコンテキスト内教育知識推論自己説明ティーチバック人工知能自然言語処理機械学習

さらに関連する動画

The Spatial Memory Game: Testing the Relationship Between Spatial Language, Object Knowledge, and Spatial Cognition
05:15

The Spatial Memory Game: Testing the Relationship Between Spatial Language, Object Knowledge, and Spatial Cognition

Published on: February 19, 2018

11.3K
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.4K

関連する実験動画

Last Updated: Jan 29, 2026

Exploring the Role of Deontic Reasoning and World Knowledge in Wason´s Selection Task
06:08

Exploring the Role of Deontic Reasoning and World Knowledge in Wason´s Selection Task

Published on: July 22, 2025

927
The Spatial Memory Game: Testing the Relationship Between Spatial Language, Object Knowledge, and Spatial Cognition
05:15

The Spatial Memory Game: Testing the Relationship Between Spatial Language, Object Knowledge, and Spatial Cognition

Published on: February 19, 2018

11.3K
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.4K

科学分野:

  • 人工知能
  • 自然言語処理
  • 機械学習

背景:

  • コンテキスト内教育（ICT）は、人間が作成した例に依存していますが、これらはコストがかかり、変動性があります。
  • 大規模言語モデル（LLM）は、コンテキスト内デモンストレーションを作成するための潜在的な代替手段を提供します。

研究 の 目的:

  • LLMがICTにおいて人間よりも効果的な教師として機能できるかどうかを調査すること。
  • LLMベースのICTを改善するための新しい方法を開発すること。

主な方法:

  • 自己説明の提案：LLMが自己生成した説明をコンテキスト内デモンストレーションとして使用します。
  • エンコーディング特異性仮説の検証：教師の例は、学生のトレーニングデータと一致する必要があります。
  • ティーチバックの導入：教師LLMと学生LLMを一致させて、ICTパフォーマンスを向上させます。

主要な成果:

  • 自己説明は、人間が作成した例やその他のベースラインを大幅に上回ります。
  • 学生LLMの自己説明に似た説明は、より良いデモンストレーションとして機能します。
  • ティーチバックにより、より小さなLLMがより大きなLLMを教えることができ、精度において人間の教師を上回ります。

結論:

  • LLMは、人間と比較して優れたコンテキスト内教師になることができます。
  • 提案された自己説明とティーチバックの方法は、LLMベースのICTを強化します。
  • 教師LLMと学生LLMの説明の一致は、効果的なICTにとって重要です。