ConceptARC at Scale: Studying Conceptual Understanding in Reasoning Models

YesterdayReported by arXiv27

ConceptARC at Scale: Studying Conceptual Understanding in Reasoning Models. It centres on Reasoning Models, and also names Benchmarks. 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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arXivConceptARC at Scale: Studying Conceptual Understanding in Reasoning ModelsYesterdayPhilipp Mondorf

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ConceptARC at Scale: Studying Conceptual Understanding in Reasoning Models

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

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

SEABench: Benchmarking Endogenous Misalignment In Self-Evolving Agents

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