How Much Were You Told? Measuring External Information in Peer Reviews

YesterdayReported by arXiv36

How Much Were You Told? Measuring External Information in Peer Reviews. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results.

Written by Bharat Hunt from the headline and the coverage below. The original reporting is the source of truth.

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arXivHow Much Were You Told? Measuring External Information in Peer ReviewsYesterdayMatthieu Dubois

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Cross-Scale Transfer Learning for Depression Severity Prediction: From PHQ-8 to HAMD-17 Across Languages and Clinical Paradigms

Cross-Scale Transfer Learning for Depression Severity Prediction: From PHQ-8 to HAMD-17 Across Languages and Clinical Paradigms. It centres on Fine-tuning, 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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AI Models27

Anthropic wants independent evaluators inside frontier AI labs; OpenAI agrees

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How Much Were You Told? Measuring External Information in Peer Reviews

Companies, models and people in this story

Reported by arXiv

Cross-Scale Transfer Learning for Depression Severity Prediction: From PHQ-8 to HAMD-17 Across Languages and Clinical Paradigms

Anthropic wants independent evaluators inside frontier AI labs; OpenAI agrees

Federated Deep Clustering Networks for High-Dimensional and Heterogeneous Data

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Reported by arXiv

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Cross-Scale Transfer Learning for Depression Severity Prediction: From PHQ-8 to HAMD-17 Across Languages and Clinical Paradigms

Anthropic wants independent evaluators inside frontier AI labs; OpenAI agrees

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