arXiv:2608.13438v1 Announce Type: cross Abstract: Contact-rich manipulation failures are often detected only after the robot has committed to contact.…
Category: AI
MLLM-Routed Heterogeneous Ensembles for Robust Cross-Dataset Image Classification
arXiv:2608.13463v1 Announce Type: cross Abstract: Modern image classification models excel when trained on single task-specific datasets but often…
UniTexture: Cross-Task Universal Adversarial Textures for Vision-Language-Action Models
arXiv:2608.13453v1 Announce Type: cross Abstract: Vision-Language-Action (VLA) models have emerged as generalist robotic policies capable of following…
Concept Drift Detection and Adaptive Retraining of Malware Classification Models
arXiv:2608.13465v1 Announce Type: cross Abstract: Concept drift refers to changes over time in the statistical properties of data, as compared to the data…
Heterogeneity-Aware Belief Synchronization for Semantic Communication in AI-Native 6G Networks
arXiv:2608.13394v1 Announce Type: cross Abstract: 6G networks will not be serving as communication infrastructures only; rather, they are expected to…
Reduced Matrix Multiplication: Input-Adaptive Matrix-Product Reduction for LLM Inference
arXiv:2608.13426v1 Announce Type: cross Abstract: Transformer-based language models achieve strong performance but incur substantial inference cost due to…
Are You Sure You’re Sure? On the Impact of Instruction Tuning on Confidence and Lexical Diversity
arXiv:2608.13430v1 Announce Type: cross Abstract: Instruction-tuned language models achieve strong performance across a range of generation tasks, but…
Deliberate Practice: Learning Robot Skills under a Budget
arXiv:2608.13415v1 Announce Type: cross Abstract: We consider the problem of autonomously learning robot skills under a limited practice budget for…
Constraining Output Space for SLM Narrow Automation Optimization
This article will kick off a series on narrow automation optimization for SLMs, and as the first entry will cover one of the more most useful techniques…
Algebraic Decomposition Theory for Transformer Length Generalization
arXiv:2608.13433v1 Announce Type: cross Abstract: Transformer-based language models are known to sometimes generalize to sequences longer than seen during…