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Can LLMs Capture Human Preferences?
We explore the viability of Large Language Models (LLMs), specifically OpenAI's GPT-3. 5 and GPT-4, in emulating human survey respondents and eliciting preferences, with a focus on intertemporal choices.
Image Block Loss Restoration Using Sparsity Pattern as Side Information
In this paper, we propose a method for image block loss restoration based on the notion of sparse representation.
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