Fine-tuning reasoning models on answer-only data induces reasoning-trace collapse where valid traces disappear while answer performance stays high, and simple loss-masking can mitigate it.
Emergent Abilities of Large Language Models.Transactions on Machine Learning Research, 2022
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Reasoning-Trace Collapse: Evaluating the Loss of Explicit Reasoning During Fine-Tuning
Fine-tuning reasoning models on answer-only data induces reasoning-trace collapse where valid traces disappear while answer performance stays high, and simple loss-masking can mitigate it.