FP16 Divergence in KV-Cached Autoregressive Inference Explained
Explore the causes and impacts of systematic FP16 divergence in KV-cached transformer inference and its effects on model accuracy and stability.
Optimizing Vision Transformers with Dispatch-Aware Ragged Attention
Discover how dispatch-aware ragged attention improves efficiency in pruned Vision Transformers by reducing latency and boosting speed without losing accura...
Causal Evidence of Hallucination Dynamics in Transformer Models
Explore causal evidence revealing asymmetric attractor dynamics causing hallucination in transformer language models and how prompt encoding influences out...
Efficient Geometric Adaptation for Physics-Informed Neural Nets
Discover a lightweight geometric adaptation framework that boosts training speed, stability, and accuracy of Physics-Informed Neural Networks (PINNs).
Chain of Thought Methods for Control Flow Code Deobfuscation
Explore how Chain of Thought prompting improves control flow code deobfuscation, enhancing graph recovery and semantic preservation with AI models.