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From Linguistic Nuance to Social Simulation: Evaluating the Capabilities and Fidelity of Large Language Models as Human Proxies

MCML Authors

Abstract

This dissertation investigates the potential and limitations of large language models as proxies for human behavior, examining their linguistic understanding, multilingual and cultural competence, and ability to simulate social perspectives. It identifies limitations in handling linguistic ambiguity, cultural nuances, and diverse human opinions, while proposing improved evaluation and data alignment methods to make LLM-based social simulations more representative and reliable. (Shortened.)

phdthesis Ma26


Dissertation

LMU München. Jul. 2026

Authors

B. Ma

Links

DOI

Research Area

 C4 | Computational Social Sciences

BibTeXKey: Ma26

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