AI-Augmented Predictions: LLM Assistants Improve Human Forecasting Accuracy
Large language models (LLMs) match and sometimes exceed human performance in many domains. This study explores the potential of LLMs to augment human judgment in a forecasting task. We evaluate the effect on human forecasters of two LLM assistants: one designed to provide high-quality ("superfo...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
ACM
2025
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| Online Access: | https://hdl.handle.net/1721.1/158063 |