#next-token-prediction News & Analysis

3 articles tagged with #next-token-prediction. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

3 articles

AIBullisharXiv – CS AI · Jun 97/10

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Next-Token Prediction Learns Generalisable Representations of Sleep Physiology

Researchers introduce Hypnos, a multi-modal foundation model trained on next-token prediction that learns generalizable representations of sleep physiology from over 20,000 polysomnography recordings across eight sensing modalities. The model achieves performance parity with supervised baselines on sleep stage classification while using 100× less labeled data and demonstrates cross-domain generalization by outperforming specialized models on daytime cardiac tasks.

AINeutralarXiv – CS AI · Jun 106/10

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Time Series as Language: A Universal Tokenizer for General-Purpose Time Series Foundation Models

Researchers introduce UniTok, a universal tokenizer that converts continuous time series data into discrete tokens, enabling UniTok-FM—a foundation model pretrained via next-token prediction. This unified approach supports forecasting, generation, and classification tasks without task-specific modifications, achieving competitive performance with specialized models while enabling zero-shot and few-shot inference capabilities.

AINeutralarXiv – CS AI · May 126/10

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A Geometric Perspective on Next-Token Prediction in Large Language Models: Three Emerging Phases

Researchers have developed a geometric framework for understanding how large language models process information across their layers, identifying three distinct phases in next-token prediction: Seeding Multiplexing, Hoisting Overriding, and Focal Convergence. The study reveals that model depth primarily increases capacity for candidate disambiguation rather than adding fundamentally new computational stages.