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arXiv:2602.15476v1 Announce Type: new Abstract: The model of the attention economy, where content producers compete for the attention of users, relies on two key forces:...
arXiv:2602.15477v1 Announce Type: new Abstract: The growing complexity of healthcare systems requires advanced computational models for real-time monitoring, secure data exchange, and intelligent decision-making. Digital...
arXiv:2602.15478v1 Announce Type: new Abstract: Mood instability is a key behavioral indicator of mental health, yet traditional assessments rely on infrequent and retrospective reports that...
arXiv:2602.15481v1 Announce Type: new Abstract: LLM-as-a-judge has emerged as a cornerstone technique for evaluating large language models by leveraging LLM reasoning to score prompt-response pairs....
arXiv:2602.15483v1 Announce Type: new Abstract: The geometric dimension $g$ of a Vector Addition System with States (VASS) is the dimension of the vector space generated...
arXiv:2602.15488v1 Announce Type: new Abstract: Nearest neighbor search on high-dimensional vectors is fundamental in modern AI and database systems. In many real-world applications, queries involve...
arXiv:2602.15489v1 Announce Type: new Abstract: Social media has billions of users, but we still do not fully understand why users prefer one platform over another....
arXiv:2602.15490v1 Announce Type: new Abstract: General-purpose super-resolution models, particularly Vision Transformers, have achieved remarkable success but exhibit fundamental inefficiencies in common infrared imaging scenarios like...
arXiv:2602.15491v1 Announce Type: new Abstract: Neural audio codecs (NACs) typically encode the short-term energy (gain) and normalized structure (shape) of speech/audio signals jointly within the...
arXiv:2602.15493v1 Announce Type: new Abstract: Minutiae extraction, a fundamental stage in fingerprint recognition, is increasingly shifting toward deep learning. However, truly end-to-end methods that eliminate...
arXiv:2602.15499v1 Announce Type: new Abstract: It has been shown that a neural network's Lipschitz constant can be leveraged to derive robustness guarantees, to improve generalizability...
arXiv:2602.15502v1 Announce Type: new Abstract: Mathematical morphology (MM) is a powerful and widely used framework in image processing. Through set-theoretic and discrete geometric principles, MM...
arXiv:2602.15503v1 Announce Type: new Abstract: Stability and robustness are critical for deploying Transformers in safety-sensitive settings. A principled way to enforce such behavior is to...
arXiv:2602.15504v1 Announce Type: new Abstract: Patients' expectations towards their treatment have a substantial effect on the treatments' success. While primarily studied in clinical settings, online...
arXiv:2602.15505v1 Announce Type: new Abstract: With the growing interest in Multimodal Recommender Systems (MRSs), collecting high-quality datasets provided with multimedia side information (text, images, audio,...
arXiv:2602.15506v1 Announce Type: new Abstract: We introduce LuxMT, a machine translation system based on Gemma 3 27B and fine-tuned for translation from Luxembourgish (LB) into...
arXiv:2602.15508v1 Announce Type: new Abstract: In the era of responsible and sustainable AI, information retrieval and recommender systems must expand their scope beyond traditional accuracy...
arXiv:2602.15509v1 Announce Type: new Abstract: The tendency for hallucination in current large language models (LLMs) negatively impacts dialogue systems. Such hallucinations produce factually incorrect responses...
arXiv:2602.15510v1 Announce Type: new Abstract: Federated Learning (FL) enables distributed training across multiple clients without centralized data sharing, while Graph Neural Networks (GNNs) model relational...
arXiv:2602.15511v1 Announce Type: new Abstract: We address generating theorems from a given set of axioms, without proof goal, aiming at value from a mathematical point...
arXiv:2602.15513v1 Announce Type: new Abstract: Deploying Multimodal Large Language Models as the brain of embodied agents remains challenging, particularly under long-horizon observations and limited context...
arXiv:2602.15514v1 Announce Type: new Abstract: As large language models (LLMs) become increasingly prevalent, reliable methods for detecting AI-generated text are critical for mitigating potential risks....
arXiv:2602.15515v1 Announce Type: new Abstract: Training against white-box deception detectors has been proposed as a way to make AI systems honest. However, such training risks...
arXiv:2602.15516v1 Announce Type: new Abstract: Transient objects in casual multi-view captures cause ghosting artifacts in 3D Gaussian Splatting (3DGS) reconstruction. Existing solutions relied on scene...