Preference tuning on weak-versus-weaker response pairs can improve a strong LLM as much as tuning on strong supervision, via the relative quality delta.
(50) Then by Lemma F.2, for any δ2 ∈ (0, 1) we have with probability at least 1 − δ2 T ∑ i=1 ζt 2 ≤ s 2dT B ln d + 1 δ2 + 4 √ d ln d + 1 δ2
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The Delta Learning Hypothesis: Preference Tuning on Weak Data can Yield Strong Gains
Preference tuning on weak-versus-weaker response pairs can improve a strong LLM as much as tuning on strong supervision, via the relative quality delta.