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Social Connections between Large Language Model Agents

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Datum

2024

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Gesellschaft für Informatik e.V.

Zusammenfassung

In this study, we explore if large language models (LLMs) can apply the concept of personal closeness and use this to enhance communication between each other while using midrange personal computers. We test and modify the LLM “Llama 3” on commodity hardware to measure the level of interpersonal closeness between the different LLM’s characters. In particular, we show insights into the development of their connection. Results indicate that the scoring of one LLM agent could have an effect on each other's LLM agents’ scoring.

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Göpfert, Ferdinand; Johannes, Suzan; Schulenburg, Johann; Seibert, Julian; Thier, Alexander; Krach, Thomas; Lasowski, Ruxandra (2024): Social Connections between Large Language Model Agents. Mensch und Computer 2024 - Workshopband. DOI: 10.18420/muc2024-mci-src-373. Gesellschaft für Informatik e.V.. MCI: Student Research Competition. Karlsruhe. 1.-4. September 2024

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