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The Challenge of Using LLMs to Simulate Human Behavior: A Causal Inference Perspective
The second explicitly specifies the source of treatment variation in the prompt given to the LLM (e. g., by informing the LLM that the store is running an experiment).
Auction Throttling and Causal Inference of Online Advertising Effects
Causally identifying the effect of digital advertising is challenging, because experimentation is expensive, and observational data lacks random variation.
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