Evaluating LLM-Generated Preference Distributions
Large Language Models (LLMs) are increasingly used as probabilistic generators for simulation, synthetic data generation, and decision support in settings where real-world data are unavailable. Yet, the structure and reliability of the distributions they produce remain understudied. Here, we systematically analyze LLM-...
Fan Huang, Minsuk Kim, C. Diggans et al.
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