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cs.LG2025
Fair Representation Learning with Controllable High Confidence Guarantees via Adversarial Inference
Yuhong Luo, Austin Hoag, Xintong Wang +2
Representation learning is increasingly applied to generate representations that generalize well across multiple downstream tasks. Ensuring fairness guarantees in representation le…
cs.LG2025
Reinforcement Learning from Human Feedback with High-Confidence Safety Constraints
Yaswanth Chittepu, Blossom Metevier, Will Schwarzer +3
Existing approaches to language model alignment often treat safety as a tradeoff against helpfulness, which can lead to unacceptable responses in sensitive domains. To ensure relia…