arXiv:2611.11588v1 Announce Type: new Abstract: In financial backtesting and other point-in-time tasks, external inputs can be restricted by date, but…
Tag: Patch & Updates
Patching the Blind Spots: Reversible LLM Rule Overlay for Frozen Fraud Detectors
arXiv:2611.08714v1 Announce Type: cross Abstract: In industrial tabular fraud classification, gradient-boosted trees remain state-of-the-art, but even a…
All the latest updates on AI data centers
Massive new data centers are the physical foundation for tech companies’ hopes and dreams for AI. But the rush to expand warehouses full of energy-hungry…
“Does Meta think we can’t read?” Meta abandons sketchy commercial terms update.
Meta won’t force Facebook page owners to allow AI training on linked content.
Microsoft Uses AI to Close More Windows Flaws as Patching Lags
Microsoft said in a Windows vulnerability-management update on November 5, 2026, that its October 2026 security release addressed more than 1,100 Windows…
Learning Hierarchical Patch Splitting Policies for Faster Vision Transformers
arXiv:2611.05742v1 Announce Type: cross Abstract: Vision Transformers (ViTs) are bottlenecked by the length of their input token sequence. Standard…
GC-MoE: Overlapping Expert-Parallel Token Dispatch with FP8/FP4 Grouped GEMM via CUDA Green Contexts
arXiv:2611.04222v1 Announce Type: cross Abstract: Under expert parallelism, mixture-of-experts (MoE) layers pay all-to-all token dispatch, grouped GEMMs,…
LoRA-Patch: Defending Against Backdoored LoRA Adapters via Directional Steering
arXiv:2611.03752v1 Announce Type: cross Abstract: Third-party LoRA adapters introduce serious backdoor risks: malicious adapters can maintain normal task…
Leidos Unveils HeadWay Dispatch for Cross-Vendor AI Agent Control
Leidos introduced HeadWay Dispatch on November 4, 2026, a governance platform designed to oversee AI agents from different vendors, set limits on their…
Patching the Protocol: A Taxonomy of Pre-Registration Repairs in LLM-Proposer Experiments
arXiv:2611.04338v1 Announce Type: new Abstract: Pre-registration is increasingly proposed as a trust mechanism for machine-learning research involving…