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arXiv:2602.13271v1 Announce Type: new Abstract: The increasing complexity and frequency of cyber-threats demand intrusion detection systems (IDS) that are not only accurate but also interpretable....
arXiv:2602.13272v1 Announce Type: new Abstract: It is unclear whether strong forecasting performance reflects genuine temporal understanding or the ability to reason under contextual and event-driven...
arXiv:2602.13273v1 Announce Type: new Abstract: Large language model (LLM) merging has become a key technique in modern LLM development pipelines, enabling the integration of multiple...
arXiv:2602.13274v1 Announce Type: new Abstract: Prompt design significantly impacts the moral competence and safety alignment of large language models (LLMs), yet empirical comparisons remain fragmented...
arXiv:2602.13275v1 Announce Type: new Abstract: Alignment research focuses on making individual AI systems reliable. Human institutions achieve reliable collective behaviour differently: they mitigate the risk...
arXiv:2602.13277v1 Announce Type: new Abstract: Mobile data collection using controllable sinks is an effective approach to improve energy efficiency and data freshness in densely deployed...
arXiv:2602.13278v1 Announce Type: new Abstract: $p$-adic linear regression is the problem of finding coefficients $\beta$ that minimise $\sum_i |y_i - x_i^\top\beta|_p$. We prove that computing...
arXiv:2602.13279v1 Announce Type: new Abstract: The proliferation of rumors on social networks undermines information credibility. While their dissemination forms complex networks, current detection methods struggle...
arXiv:2602.13280v1 Announce Type: new Abstract: Simulating student learning behaviors in open-ended problem-solving environments holds potential for education research, from training adaptive tutoring systems to stress-testing...
arXiv:2602.13281v1 Announce Type: new Abstract: This article investigates a family of centrality models for urban networks that incorporate both topological and non-topological factors. Since centrality...
arXiv:2602.13282v1 Announce Type: new Abstract: With rapid expansion of cellular networks and the proliferation of mobile devices, cellular traffic data exhibits complex temporal dynamics and...
arXiv:2602.13283v1 Announce Type: new Abstract: We study how people trade off accuracy when using AI-powered tools in professional versus personal contexts for adoption purposes, the...
arXiv:2602.13284v1 Announce Type: new Abstract: We present the first large-scale empirical study of Moltbook, an AI-only social platform where 27,269 agents produced 137,485 posts and...
arXiv:2602.13286v1 Announce Type: new Abstract: Explanatory interactive learning (XIL) enables users to guide model training in machine learning (ML) by providing feedback on the model's...
arXiv:2602.13287v1 Announce Type: new Abstract: Cooperative perception enables autonomous agents to share encoded representations over wireless communication to enhance each other's live situational awareness. However,...
arXiv:2602.13288v1 Announce Type: new Abstract: Anomaly detection is important for keeping cloud systems reliable and stable. Deep learning has improved time-series anomaly detection, but most...
arXiv:2602.13289v1 Announce Type: new Abstract: Multimodal Large Language Models (MLLM) are increasingly deployed in domains where both reliability and efficiency are critical. However, current models...
arXiv:2602.13290v1 Announce Type: new Abstract: Effective management and operational decision-making for complex mobile network systems present significant challenges, particularly when addressing conflicting requirements such as...
arXiv:2602.13291v1 Announce Type: new Abstract: Artificial Intelligence (AI) has transformed robotics, healthcare, industry, and scientific discovery, yet a major frontier may lie beyond Earth. Space...
arXiv:2602.13292v1 Announce Type: new Abstract: Ethics review is a foundational mechanism of modern research governance, yet contemporary systems face increasing strain as ethical risks arise...
arXiv:2602.13293v1 Announce Type: new Abstract: Vision Language Models (VLMs) have advanced perception in autonomous driving (AD), but they remain vulnerable to adversarial threats. These risks...
arXiv:2602.13294v1 Announce Type: new Abstract: Evaluating whether Multimodal Large Language Models (MLLMs) genuinely reason about physical dynamics remains challenging. Most existing benchmarks rely on recognition-style...
arXiv:2602.13296v1 Announce Type: new Abstract: High-resolution range profile (HRRP ) data are in vogue in radar automatic target recognition (RATR). With the interest in classifying...
arXiv:2602.13297v1 Announce Type: new Abstract: High-resolution range profiles (HRRPs) enable fast onboard processing for radar automatic target recognition, but their strong sensitivity to acquisition conditions...