10 citations · 29 across the 12 of their papers we have counts for
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cs.CY2023★ 8 cited
Large Language Model Prediction Capabilities: Evidence from a Real-World Forecasting Tournament
Philipp Schoenegger, Peter S. Park
Accurately predicting the future would be an important milestone in the capabilities of artificial intelligence. However, research on the ability of large language models to provid…
cs.HC2023★ 10 cited
Diminished Diversity-of-Thought in a Standard Large Language Model
Peter S. Park, Philipp Schoenegger, Chongyang Zhu
We test whether Large Language Models (LLMs) can be used to simulate human participants in social-science studies. To do this, we run replications of 14 studies from the Many Labs…