Multiple Choice

A team is fine-tuning a language model using a reinforcement learning process guided by human feedback. They observe that while the model's policy is successfully optimized to achieve high scores from its internal reward signal, the generated text is often repetitive, nonsensical, and misaligned with the original human preferences. Which of the following is the most likely cause of this discrepancy?

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Updated 2025-10-05

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