Akaash Kolluri

Finetuning LLMs for Human Behavior Prediction in Social Science Experiments

Large language models (LLMs) offer a powerful opportunity to simulate the results of social science experiments. In this work, we demonstrate that finetuning LLMs directly on individual-level responses from past experiments meaningfully improves the accuracy of such simulations. We construct SocSci2