8 citations · 9 across the 3 of their papers we have counts for
3 papers
Prompt Engineering Large Language Models' Forecasting Capabilities
Philipp Schoenegger, Cameron R. Jones, Philip E. Tetlock +1
Large language model performance can be improved in a large number of ways. Many such techniques, like fine-tuning or advanced tool usage, are time-intensive and expensive. Althoug…
Can AI Understand Human Personality? -- Comparing Human Experts and AI Systems at Predicting Personality Correlations
Philipp Schoenegger, Spencer Greenberg, Alexander Grishin +2
We test the abilities of specialised deep neural networks like PersonalityMap as well as general LLMs like GPT-4o and Claude 3 Opus in understanding human personality. Specifically…
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…