Learning to Stop without Learning to Stop: Self-Supervised Confidence Training Improves Reasoning Efficiency

2 days agoReported by arXiv24

Learning to Stop without Learning to Stop: Self-Supervised Confidence Training Improves Reasoning Efficiency. It centres on Reasoning Models, and also names Inference and Fine-tuning. Reported by arXiv. Bharat Hunt files it under AI Models and AI Coding — the section covering a new or updated model, its capabilities, benchmarks or availability.

Written by Bharat Hunt from the headline and the coverage below. The original reporting is the source of truth.

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Reported by arXiv

First seen 2 days ago

arXivLearning to Stop without Learning to Stop: Self-Supervised Confidence Training Improves Reasoning Efficiency2 days agoParsa Hosseini

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Measuring the Serving Stack Instead of the Model: Hidden Confounds in Local Tool-Use Evaluation

Measuring the Serving Stack Instead of the Model: Hidden Confounds in Local Tool-Use Evaluation. It centres on Benchmarks, and also names Ollama and Phi. Reported by arXiv. Bharat Hunt files it under AI Tools and AI Models — the section covering applications people use — assistants, editors, search, productivity.

arXiv5 days ago

AI Models24

Capable yet Parsimonious: Extracting and Characterizing Hidden Chain-of-Thought in Frontier Models

Capable yet Parsimonious: Extracting and Characterizing Hidden Chain-of-Thought in Frontier Models. It centres on Reasoning Models, and also names GPT and Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models and AI Tools — the section covering a new or updated model, its capabilities, benchmarks or availability.

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Learning to Stop without Learning to Stop: Self-Supervised Confidence Training Improves Reasoning Efficiency

Companies, models and people in this story

Reported by arXiv

Measuring the Serving Stack Instead of the Model: Hidden Confounds in Local Tool-Use Evaluation

Capable yet Parsimonious: Extracting and Characterizing Hidden Chain-of-Thought in Frontier Models

Transcribe, Translate, and Optimize: Joint Reward Learning for Speech Translation

Spoken Language Models that Think Aloud

Companies, models and people in this story

Reported by arXiv

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