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Smaller, cheaper models generate superior negative examples for preference distillation, significantly boosting student performance without requiring larger teacher models.
"Prompt-form collapse" can drastically reduce success rates, but TOWN-VLA's controlled intervention boosts performance by ensuring only meaningful prompts are executed.
