A proposed Counterfactual Trust Score aggregates drift, uncertainty, fairness violations, and counterfactual consistency into a single reward-model trust signal, evaluated only via a self-composed score on an unnamed fake news dataset.
ACL Long Paper (2025)
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Counterfactual Reward Model Training for Bias Mitigation in Multimodal Reinforcement Learning
A proposed Counterfactual Trust Score aggregates drift, uncertainty, fairness violations, and counterfactual consistency into a single reward-model trust signal, evaluated only via a self-composed score on an unnamed fake news dataset.