Large Language Models as a Universal Searcher for Open-World Automated Machine Learning

YesterdayReported by arXiv38

Large Language Models as a Universal Searcher for Open-World Automated Machine Learning. It centres on Fine-tuning, and also names Benchmarks and Reasoning Models. Reported by arXiv. Bharat Hunt files it under Generative AI and AI Models — the section covering text, image, audio and video generation — products and their output.

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Reported by arXiv

First seen yesterday

arXivLarge Language Models as a Universal Searcher for Open-World Automated Machine LearningYesterdayYuxuan Hu

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

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.

arXiv13 Oct 2026

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

HARISSA: Inference-Time Self-Checks for Efficient and Safe Local Language Model Deployment. It centres on Inference, and also names Reasoning Models. Reported by arXiv. Bharat Hunt files it under Enterprise AI and AI Models — the section covering deployment inside businesses — platforms, adoption, cost, integration.

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Large Language Models as a Universal Searcher for Open-World Automated Machine Learning

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

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

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