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LLM Voting: Human Choices and AI Collective Decision Making
This paper investigates the voting behaviors of Large Language Models (LLMs), specifically GPT-4 and LLaMA-2, their biases, and how they align with human voting patterns.
Dynamic value alignment through preference aggregation of multiple objectives
The development of ethical AI systems is currently geared toward setting objective functions that align with human objectives.
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