Thousands of consumer routers hacked by Russia's military
End-of-life routers in homes and small offices hacked in 120 countries.
Dan Goodin
72 views
All Articles
Articles
AE-ViT: Stable Long-Horizon Parametric Partial Differential Equations Modeling
arXiv:2604.06475v1 Announce Type: new Abstract: Deep Learning Reduced Order Models (ROMs) are becoming increasingly popular as surrogate models for parametric partial differential equations (PDEs) due …
Iva Miku\v{s}, Boris Muha, Domagoj Vlah
54 views
The Unitary Executive and the Due Process State
ARTICLE The Unitary Executive and the Due Process State Emily S. Bremer* and William N. Eskridge Jr.** In Trump v. Slaughter, the Supreme Court will …
Jake Micheletti
81 views
El Nino Prediction Based on Weather Forecast and Geographical Time-series Data
arXiv:2604.04998v1 Announce Type: new Abstract: This paper proposes a novel framework for enhancing the prediction accuracy and lead time of El Ni\~no events, crucial for …
Viet Trinh, Ha-Vy Luu, Quoc-Khiem Nguyen-Pham, Hung Tong, Thanh-Huyen Tran, Hoai-Nam Nguyen Dang
29 views
Operational Noncommutativity in Sequential Metacognitive Judgments
arXiv:2604.04938v1 Announce Type: new Abstract: Metacognition, understood as the monitoring and regulation of one's own cognitive processes, is inherently sequential: an agent evaluates an internal …
Enso O. Torres Alegre, Diana E. Mora Jimenez
61 views
Not All Turns Are Equally Hard: Adaptive Thinking Budgets For Efficient Multi-Turn Reasoning
arXiv:2604.05164v1 Announce Type: new Abstract: As LLM reasoning performance plateau, improving inference-time compute efficiency is crucial to mitigate overthinking and long thinking traces even for …
Neharika Jali, Anupam Nayak, Gauri Joshi
30 views
Do Domain-specific Experts exist in MoE-based LLMs?
arXiv:2604.05267v1 Announce Type: new Abstract: In the era of Large Language Models (LLMs), the Mixture of Experts (MoE) architecture has emerged as an effective approach …
Giang Do, Hung Le, Truyen Tran
35 views
Just Pass Twice: Efficient Token Classification with LLMs for Zero-Shot NER
arXiv:2604.05158v1 Announce Type: new Abstract: Large language models encode extensive world knowledge valuable for zero-shot named entity recognition. However, their causal attention mechanism, where tokens …
Ahmed Ewais, Ahmed Hashish, Amr Ali
18 views
Cross-Modal Coreference Alignment: Enabling Reliable Information Transfer in Omni-LLMs
arXiv:2604.05522v1 Announce Type: new Abstract: Omni Large Language Models (Omni-LLMs) have demonstrated impressive capabilities in holistic multi-modal perception, yet they consistently falter in complex scenarios …
Hongcheng Liu, Yuhao Wang, Zhe Chen, Pingjie Wang, Zhiyuan Zhu, Yixuan Hou, Yanfeng Wang, Yu Wang
27 views
AutoSOTA: An End-to-End Automated Research System for State-of-the-Art AI Model Discovery
arXiv:2604.05550v1 Announce Type: new Abstract: Artificial intelligence research increasingly depends on prolonged cycles of reproduction, debugging, and iterative refinement to achieve State-Of-The-Art (SOTA) performance, creating …
Yu Li, Chenyang Shao, Xinyang Liu, Ruotong Zhao, Peijie Liu, Hongyuan Su, Zhibin Chen, Qinglong Yang, Anjie Xu, Yi Fang, Qingbin Zeng, Tianxing Li, Jingbo Xu, Fengli Xu, Yong Li, Tie-Yan Liu
52 views
Shadow Derivatives: The Quiet Propertization of AI Learning
Introduction Artificial intelligence (AI) systems learn. In today’s AI markets, durable advantage comes less from any single output than from the learning that accumulates through …
Mark C. McCabe
75 views
Curvature-Aware Optimization for High-Accuracy Physics-Informed Neural Networks
arXiv:2604.05230v1 Announce Type: new Abstract: Efficient and robust optimization is essential for neural networks, enabling scientific machine learning models to converge rapidly to very high …
Anas Jnini, Elham Kiyani, Khemraj Shukla, Jorge F. Urban, Nazanin Ahmadi Daryakenari, Johannes Muller, Marius Zeinhofer, George Em Karniadakis
74 views