Kian Ahrabian
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126
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ML×1NLP×1
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2026
Escaping the Mode Lottery: Multi-Response Training Improves Language Model Generalization
The paper introduces Multi-Response Training (MRT) to combat the 'mode lottery' problem in language model fine-tuning, showing that retaining multiple valid responses significantly improves distributional generalization.
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