Fanglei Qu

PERSUASION SHOULD BE DOUBLE-BLIND: A MULTI-DOMAIN DIALOGUE DATASET WITH FAITHFULNESS BASED ON CAUSAL THEORY OF MIND

Persuasive dialogue is central to human communication, yet existing datasets often rely on a single language model generating both roles, producing unrealistic interactions that violate the double-blind nature of persuasion. To overcome this, we propose ToMMA, a multi-agent framework guided by causa…