Modeling Student Sensemaking with LLMs and Knowledge-Graph-Guided Inference

3 days agoReported by arXiv23

Modeling Student Sensemaking with LLMs and Knowledge-Graph-Guided Inference. It centres on Inference, and also names Reasoning Models. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.

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Reported by arXiv

First seen 3 days ago

arXivModeling Student Sensemaking with LLMs and Knowledge-Graph-Guided Inference3 days agoÖzge Alacam

AI Models24

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

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.

arXiv2 days ago

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Modeling Student Sensemaking with LLMs and Knowledge-Graph-Guided Inference

Companies, models and people in this story

Reported by arXiv

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

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

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Companies, models and people in this story

Reported by arXiv

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

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