Author

Odej Kao

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Preprint Oct 2026

Revisiting Cauchy-Schwarz Norm Bounds for SDC Detection in LLM Inference

Large Language Models (LLMs) execute billions of floating-point operations per output token across many hardware accelerators. At this scale, hardware-induced faults can bypass system-level detection mechanisms and cause Silent Data Corruption (SDC). Algorithm-Based Fault Tolerance (ABFT) is the state-of-the-art techni...

A. Altenbernd, Dylan Everingham, Philipp Wiesner et al. · 0 citations

Preprint Jul 2026

Where Should RL Post-Training Compute Go? Model Size, Search, Learning, and Feedback

Reinforcement Learning (RL) post-training is increasingly used to adapt foundation models for reasoning, planning, and feedback-driven robot-learning pipelines, but constrained post-training resources are often summarized by a single total FLOP budget. We study the fixed-budget decision problem behind this practice: un...

Patrick Wilhelm, Odej Kao · 0 citations