Tag: frontier large language models
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Diagnosing Surface Compliance in Large Language Models
Explore how surface compliance affects memory editing in large language models and why true internal modification is crucial for reliable AI.
CAKE Benchmark: Evaluating LLMs on Cloud Architecture Knowledge
Discover how the CAKE benchmark assesses large language models' understanding of cloud-native architecture through expert-validated questions and dual-form...
Attention Editing: Efficient Cross-Architecture Attention Conversion
Discover Attention Editing, a versatile framework that optimizes large language models by converting attention architectures without extensive retraining.
Multimodal LLM Security Assessment for Cyber-Physical Systems
Discover ASTRAL, a multimodal LLM-driven tool enhancing security assessment and risk quantification for cyber-physical systems with incomplete architecture...
LLM Reasoning Trajectories: Geometry & Accuracy Insights
Explore how LLM reasoning follows step-specific trajectories, enabling accuracy prediction and control through geometric analysis of representations.