#representation-geometry News & Analysis

2 articles tagged with #representation-geometry. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AINeutralarXiv – CS AI · May 277/10

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Emergent Causal-Geometric Dynamics Across Depth in Large Language Models

Researchers have synthesized geometric and causal analysis approaches to explain how large language models transform context into predictions across layers, identifying a sharp computational transition in decoder-only LLMs and revealing that angular structure in late layers governs token prediction while representation norms operate independently.

AIBearisharXiv – CS AI · May 127/10

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The Geometry of Forgetting: Temporal Knowledge Drift as an Independent Axis in LLM Representations

Researchers demonstrate that large language models encode temporal knowledge drift—whether facts have become outdated since training—as a geometrically orthogonal direction in their internal representations, separate from correctness and uncertainty signals. This structural property explains why existing detection methods fail and why LLMs confidently produce outdated information, with implications for AI reliability and deployment.