Aligning Large Language Model Agents with Rational and Moral Preferences: A Supervised Fine-Tuning Approach

ArXi:2507.20796v2 Announce Type: replace-cross As large language models (LLMs) increasingly act as autonomous agents in markets and organizations, their behavior in strategic environments becomes economically consequential. We document that off-the-shelf LLM agents exhibit systematic deviations from payoff-sensitive behavior in canonical economic games, including excessive cooperation and limited responsiveness to incentives. We