Calibrated concept profiles: making the reading of a model's neurons a measurement

5 days agoReported by arXiv21

Calibrated concept profiles: making the reading of a model's neurons a measurement. The story centres on Nothing. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results.

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Reported by arXiv

First seen 5 days ago

arXivCalibrated concept profiles: making the reading of a model's neurons a measurement5 days agoPiotr Wilam

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Principled Under Pressure: Post-Training Decides Whether LLMs Act on Their Own Moral Judgment

Principled Under Pressure: Post-Training Decides Whether LLMs Act on Their Own Moral Judgment. It centres on Meta, and also names Llama and Nothing. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.

arXiv6 Oct 2026

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How Many Labels Does a Language Need? Annotation Budgets and Cross-Lingual Pooling for African-Language Text Classification

How Many Labels Does a Language Need? Annotation Budgets and Cross-Lingual Pooling for African-Language Text Classification. It centres on Benchmarks, and also names Nothing. Reported by arXiv. Bharat Hunt files it under AI Models and AI Hardware — the section covering a new or updated model, its capabilities, benchmarks or availability.

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Calibrated concept profiles: making the reading of a model's neurons a measurement

Companies, models and people in this story

Reported by arXiv

Principled Under Pressure: Post-Training Decides Whether LLMs Act on Their Own Moral Judgment

How Many Labels Does a Language Need? Annotation Budgets and Cross-Lingual Pooling for African-Language Text Classification

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Reported by arXiv

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