Jan Digutsch und Overlap - Info zur Person

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Overlap in meaning is a stronger predictor of semantic ...x-mol.com

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— Jan Digutsch 1, 2 , Michal Kosinski 3. Affiliation. Leibniz Research Centre for Working Environment and Human Factors at the Technical ...

Can Models Produce Divergent Semantic Association?arXiv

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Digutsch and Kosinski (2023) Jan Digutsch and Michal Kosinski Overlap in meaning is a stronger predictor of semantic activation in GPT-3 than in ... Digutsch and Kosinski (2023) Jan Digutsch and Michal Kosinski Overlap in meaning is a stronger predictor of semantic activation in GPT-3 than in ...

arXiv: v1 [cs.CL] 17 Oct 2023arXiv

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von H Chen · · Zitiert von: 1 — Jan Digutsch and Michal Kosinski Overlap in · meaning is a stronger predictor of semantic activa- · tion in GPT-3 than in humans ... von H Chen · · Zitiert von: 1 — Jan Digutsch and Michal Kosinski Overlap in · meaning is a stronger predictor of semantic activa- · tion in GPT-3 than in humans ...

Overlap in Meaning Is a Stronger Predictor of Semantic ...ResearchGate

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... /osf.io/dx5hc. License; CC BY Authors: Jan Digutsch · Jan Digutsch. This person is not on ResearchGate, or hasn't claimed this research yet osf.io/dx5hc. License; CC BY Authors: Jan Digutsch · Jan Digutsch. This person is not on ResearchGate, or hasn't claimed this research yet.

Overlap in meaning is a stronger predictor of semantic ...Nature

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von J Digutsch · · Zitiert von: 18 — Overlap in meaning is a stronger predictor of semantic activation in GPT-3 than in humans. Jan Digutsch ORCID: orcid.org & ... von J Digutsch · · Zitiert von: 18 — Overlap in meaning is a stronger predictor of semantic activation in GPT-3 than in humans. Jan Digutsch ORCID: orcid.org & ...

Probing the “Creativity” of Large Language ModelsOpenReview

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von H Chen · · Zitiert von: 2 — [1] Jan Digutsch and Michal Kosinski. (2023). Overlap in meaning is a stronger predictor of semantic activation in GPT-3 than in humans ... von H Chen · · Zitiert von: 2 — [1] Jan Digutsch and Michal Kosinski. (2023). Overlap in meaning is a stronger predictor of semantic activation in GPT-3 than in humans ...

Overlap in Meaning Is a Stronger Predictor of Semantic ...OSF

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Contributors: Jan Digutsch · Michal Kosinski. Date created: :58 PM | Last Updated: Contributors: Jan Digutsch · Michal Kosinski. Date created: :58 PM | Last Updated:

Overlap in meaning is a stronger predictor of semantic ...EBSCO Information Services

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von J Digutsch · · Zitiert von: 18 — Jan Digutsch 1,3Ε & Michal Kosinski 2. Modern large language models generate texts that are virtually indistinguishable from those written by humans and ... von J Digutsch · · Zitiert von: 18 — Jan Digutsch 1,3Ε & Michal Kosinski 2. Modern large language models generate texts that are virtually indistinguishable from those written by humans and ...

Overlap in meaning is a stronger predictor of semantic ...OUCI

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Authors: Jan Digutsch, Michal Kosinski. Abstract. AbstractModern large language models generate texts that are virtually indistinguishable from those written ... Authors: Jan Digutsch, Michal Kosinski. Abstract. AbstractModern large language models generate texts that are virtually indistinguishable from those written ...

Overlap in meaning is a stronger predictor of semantic ...Read Wonders

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by Jan Digutsch, M. Kosinski. Get the PDF. CHAT WITH RESEARCH. QUESTIONS & ANSWERS. Log in to generate. TL;DR. AI STORY. ABSTRACT. GPT-3's patterns by Jan Digutsch, M. Kosinski. Get the PDF. CHAT WITH RESEARCH. QUESTIONS & ANSWERS. Log in to generate. TL;DR. AI STORY. ABSTRACT. GPT-3's patterns ...

What are the activation functions used in current language ...AI Chat for scientific PDFs | SciSpace

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— Insight. Overlap in meaning is a stronger predictor of semantic activation in GPT-3 than in humans · Jan Digutsch, Michal Kosinski - Show less + — Insight. Overlap in meaning is a stronger predictor of semantic activation in GPT-3 than in humans · Jan Digutsch, Michal Kosinski - Show less + Antworten · Top-Antwort: Activation functions used in current language models such as GPT-4, Gemini, Claude, etc. ...