The CogBiasESC dataset and CoPoLLM framework enable LLMs to diagnose cognitive distortions and apply interventions in emotional support conversations, outperforming baselines on accuracy, effectiveness, and safety.
The average reward fluctuated between 0.2 and 0.5, corresponding to a random base- line where the agent frequently triggered mis- match penalties
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Cognitive Policy-Driven LLM for Diagnosis and Intervention of Cognitive Distortions in Emotional Support Conversation
The CogBiasESC dataset and CoPoLLM framework enable LLMs to diagnose cognitive distortions and apply interventions in emotional support conversations, outperforming baselines on accuracy, effectiveness, and safety.