Bank
75 / 87
RLHFMultiple choiceMedium

Your reward model was trained with a Bradley-Terry loss on pairs of responses to the same prompt.

A teammate wants to filter the RL prompt pool by dropping prompts whose best sampled response scores below 0, treating the score as an absolute quality bar.

What's wrong with the plan, and what would you do instead?