PCT is a reinforcement learning approach that trains LLMs for symmetric sentiment and helpfulness across paired opposing political prompts, reducing covert bias while preserving general performance.
Political compass or spinning arrow? towards more meaningful evaluations for values and opinions in large language models
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Reducing Political Manipulation with Consistency Training
PCT is a reinforcement learning approach that trains LLMs for symmetric sentiment and helpfulness across paired opposing political prompts, reducing covert bias while preserving general performance.