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Minh Duc Chu

2 accepted papers

2025

Improving and Assessing the Fidelity of Large Language Models Alignment to Online Communities

NAACL 2025long

Large language models (LLMs) have shown promise in representing individuals and communities, offering new ways to study complex social dynamics. However, effectively aligning LLMs with specific human groups and systematically assessing the fidelity of the alignment remains a challenge. This paper pr…

2024

Community-Cross-Instruct: Unsupervised Instruction Generation for Aligning Large Language Models to Online Communities

EMNLP 2024main

Social scientists use surveys to probe the opinions and beliefs of populations, but these methods are slow, costly, and prone to biases. Recent advances in large language models (LLMs) enable the creating of computational representations or “digital twins” of populations that generate human-like res…