Adversarial training combines verifiable RL rewards with a discriminator proxy for human outputs to jointly optimize accuracy and non-verifiable qualities like naturalness in language models.
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Right in the Right Way: LM Training with Verifiable Rewards and Human Demonstrations
Adversarial training combines verifiable RL rewards with a discriminator proxy for human outputs to jointly optimize accuracy and non-verifiable qualities like naturalness in language models.