Stepwise-Querying: Distilling Reasoning without Access to Teacher Chain-of-Thought

4 days agoReported by arXiv22

Stepwise-Querying: Distilling Reasoning without Access to Teacher Chain-of-Thought. It centres on Reasoning Models, and also names Fine-tuning and Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Coding — the section covering code generation, developer agents, IDEs and software engineering.

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 4 days ago

arXivStepwise-Querying: Distilling Reasoning without Access to Teacher Chain-of-Thought4 days agoDicong Yu

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GeoReader: Learning Latent Geometry for Spatial Reasoning in Vision-Language Models. It centres on AI Safety, and also names Fine-tuning and Inference. Reported by arXiv. Bharat Hunt files it under AI Models and AI Research — the section covering a new or updated model, its capabilities, benchmarks or availability.

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HARISSA: Inference-Time Self-Checks for Efficient and Safe Local Language Model Deployment

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Stepwise-Querying: Distilling Reasoning without Access to Teacher Chain-of-Thought

Companies, models and people in this story

Reported by arXiv

GeoReader: Learning Latent Geometry for Spatial Reasoning in Vision-Language Models

HARISSA: Inference-Time Self-Checks for Efficient and Safe Local Language Model Deployment

SEABench: Benchmarking Endogenous Misalignment In Self-Evolving Agents

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Companies, models and people in this story

Reported by arXiv

Related AI coverage

GeoReader: Learning Latent Geometry for Spatial Reasoning in Vision-Language Models

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Nested Shared-Operator Recursion on ARC-AGI-1: An Empirical Study of HRM, TRM and URM