REGER adds inter-item relations to generative recommendation with semantic IDs
The method pretrains by generating semantic neighbors' IDs and distills a teacher's full next-token distributions along the target path.
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The method pretrains by generating semantic neighbors' IDs and distills a teacher's full next-token distributions along the target path.
Smaller frozen models produce more useful preference-distillation rejects than a student's own failures on code and math.
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