Papers by Minh Chu

1 papers
Community-Cross-Instruct: Unsupervised Instruction Generation for Aligning Large Language Models to Online Communities (2024.emnlp-main)

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Challenge: Social scientists use surveys to learn opinions and beliefs of populations, but these methods are slow, costly, and prone to biases.
Approach: They propose a framework for aligning large language models to online communities by finetuning instruction-output pairs by an advanced LLM to elicit their beliefs.
Outcome: The proposed framework enables cost-effective and automated surveying of diverse online communities.

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