Learning to Stop without Learning to Stop: Self-Supervised Confidence Training Improves Reasoning Efficiency
Self-supervised confidence fine-tuning makes reasoning more efficient, reducing generated tokens by up to 25\% at matched accuracy across Gemma, Qwen, Nemotron, and GPT-OSS models on mathematical, scientific, and coding reasoning benchmarks, with efficiency gains comparable to methods that explicitly optimize for short...
Parsa Hosseini, Akasha Tigalappanavara, Sumit Nawathe et al.
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