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arXiv:2601.17367v1 Announce Type: new Abstract: The quadratic complexity of standard attention mechanisms poses a significant scalability bottleneck for large language models (LLMs) in long-context scenarios....
arXiv:2601.17368v1 Announce Type: new Abstract: Privacy Policies are a cornerstone of informed consent, yet a persistent gap exists between their legal intent and practical efficacy....
arXiv:2601.17371v1 Announce Type: new Abstract: Identifying deepfake videos on social media platforms is challenged by dynamic spatio-temporal artifacts and inadequate user tools. This hinders both...
arXiv:2601.17373v1 Announce Type: new Abstract: As Smart Home Personal Assistants (SPAs) evolve into social agents, understanding user privacy necessitates interpersonal communication frameworks, such as Privacy...
arXiv:2601.17375v1 Announce Type: new Abstract: In this paper, we develop a class of samplers for the diffusion model using the operator-splitting technique. The linear drift...
arXiv:2601.17376v1 Announce Type: new Abstract: The advancement of Time Series Foundation Models (TSFMs) has been driven primarily by large-scale pre-training, but inference-time compute potential remains...
arXiv:2601.17377v1 Announce Type: new Abstract: The scientific peer-review process is facing a shortage of human resources due to the rapid growth in the number of...
arXiv:2601.17378v1 Announce Type: new Abstract: Membership inference attacks (MIAs) pose a serious threat to the privacy of machine learning models by allowing adversaries to determine...
arXiv:2601.17379v1 Announce Type: new Abstract: The emerging field of AI-generated art has witnessed the rise of prompt marketplaces, where creators can purchase, sell, or share...
arXiv:2601.17383v1 Announce Type: new Abstract: Large Vision-Language Models (LVLMs) are increasingly deployed in real-world intelligent systems for perception and reasoning in open physical environments. While...
arXiv:2601.17387v1 Announce Type: new Abstract: Multilingual speech-text foundation models aim to process language uniformly across both modality and language, yet it remains unclear whether they...
arXiv:2601.17388v1 Announce Type: new Abstract: Watermarking methods have always been effective means of protecting intellectual property, yet they face significant challenges. Although existing deep learning-based...
arXiv:2601.17390v1 Announce Type: new Abstract: Modern enterprises increasingly adopt diverse technology stacks with various programming languages, posing significant challenges for static application security testing (SAST)....
arXiv:2601.17391v1 Announce Type: new Abstract: Event cameras action recognition (EAR) offers compelling privacy-protecting and efficiency advantages, where temporal motion dynamics is of great importance. Existing...
arXiv:2601.17396v1 Announce Type: new Abstract: Early-stage degradation in oscillatory systems often manifests as geometric distortions of the dynamics, such as phase jitter, frequency drift, or...
arXiv:2601.17397v1 Announce Type: new Abstract: Knowledge Editing (KE) has emerged as a promising paradigm for updating facts in Large Language Models (LLMs) without retraining. However,...
arXiv:2601.17399v1 Announce Type: new Abstract: Large Language Models (LLMs) have achieved rapid progress in Chinese language understanding, yet accurately evaluating their capabilities remains challenged by...
arXiv:2601.17404v1 Announce Type: new Abstract: Shared control improves Human-Robot Interaction by reducing the user's workload and increasing the robot's autonomy. It allows robots to perform...
arXiv:2601.17405v1 Announce Type: new Abstract: Precision pathology relies on detecting fine-grained morphological abnormalities within specific Regions of Interest (ROIs), as these local, texture-rich cues -...
arXiv:2601.17406v1 Announce Type: new Abstract: AI coding agents are reshaping software development through both autonomous and human-mediated pull requests (PRs). When developers use AI agents...
arXiv:2601.17407v1 Announce Type: new Abstract: Fast and accurate surrogates for physics-driven partial differential equations (PDEs) are essential in fields such as aerodynamics, porous media design,...
arXiv:2601.17408v1 Announce Type: new Abstract: Source-Free Domain Adaptation (SFDA) is an emerging area of research that aims to adapt a model trained on a labeled...
arXiv:2601.17412v1 Announce Type: new Abstract: We propose a novel Unmanned Aerial Vehicles (UAV) assisted creative capture system that leverages diffusion models to interpret high-level natural...
arXiv:2601.17413v1 Announce Type: new Abstract: AI agents are increasingly used in software development, yet their interaction with CI/CD configurations is not well studied. We analyze...