arXiv:2609.08574v2 Announce Type: replace-cross Abstract: Long context language models now advertise windows of one million tokens, but two habits limit…
Category: AI
Staying on the Attack Path: Structured State for Long-Horizon Automated Penetration Testing
arXiv:2609.07344v2 Announce Type: replace-cross Abstract: Large language model (LLM) based agents are increasingly applied to cybersecurity tasks such as…
The man who built Apple’s stores doesn’t buy Silicon Valley’s bet on AI shopping
Apple Store architect Ron Johnson says Apple’s secret sauce has always been its people.
High-probability guarantees for linear accessibility in feature superposition
arXiv:2609.09556v2 Announce Type: replace-cross Abstract: Neural networks can leverage feature superposition to encode more concepts than dimensions, but…
A Training-Free Proactive Defense Against Partial Speech Manipulation via Self-Embedding Steganography
arXiv:2608.25285v2 Announce Type: replace-cross Abstract: Partial deepfake speech, where only limited segments of an utterance are synthesized or…
Position Matters: Feature Inversion Attacks in ViT Split Inference with Token Reduction and Shuffling
arXiv:2609.01232v3 Announce Type: replace-cross Abstract: Vision Transformers (ViTs) are increasingly used in split-inference systems, where edge devices…
VLA-Precision: Asymmetric Co-Bootstrapping for Efficient Real-World Online RL of Vision-Language-Action Models
arXiv:2609.04355v3 Announce Type: replace-cross Abstract: Pretrained vision-language-action (VLA) models enable broad manipulation but remain unreliable…
TabScope: Question-Adaptive Scope Selection for Table Question Answering
arXiv:2609.03395v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) have shown strong performance on table question answering, yet…
PAVE: Predictive Alignment and Value-Guided Evolution for World-Action Policies
arXiv:2608.30378v3 Announce Type: replace-cross Abstract: Direct vision-language-action policies generate continuous robot actions efficiently, but…
Are You Sure You’re Sure? On the Impact of Instruction Tuning on Confidence and Lexical Diversity
arXiv:2608.13430v2 Announce Type: replace-cross Abstract: Instruction-tuned language models achieve strong performance across a range of generation tasks…