RM training uses all C(K,2) comparisons from a single prompt as
AShuffled into one large dataset always
BK separate batch elements one per response
CDiscarded after a single epoch of training
DA single batch element together
Answer & Solution
Correct answer: D. A single batch element together
Shuffling the C(K,2) pairs across the dataset caused the RM to overfit (highly correlated within a prompt).
Treating all C(K,2) pairs as one batch element fixes this and is much more compute-efficient.
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