Author

Genta Indra Winata

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#artificial intelligence Preprint Sep 2026

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. · 0 citations

#artificial intelligence Preprint Sep 2026

The Rise of Verbal Reinforcement Learning

This taxonomy shows how verbal reinforcement is reshaping agent development, while also defining the challenges and opportunities for building more capable and aligned agents.

Kshitij Tayal, Arun Sharma, Genta Indra Winata et al. · 0 citations