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arXiv:2601.18207v1 Announce Type: new Abstract: Search agents are language models (LMs) that reason and search knowledge bases (or the web) to answer questions; recent methods...
arXiv:2601.18213v1 Announce Type: new Abstract: Modeling long-term user behavior trajectories is essential for understanding evolving preferences and enabling proactive recommendations. However, most sequential recommenders focus...
arXiv:2601.18216v1 Announce Type: new Abstract: Ransomware variants increasingly combine privilege escalation with sophisticated evasion strategies such as intermittent encryption, low-entropy encryption, and imitation attacks. Such...
arXiv:2601.18217v1 Announce Type: new Abstract: Generalist LLM agents are often post-trained on a narrow set of environments but deployed across far broader, unseen domains. In...
arXiv:2601.18218v1 Announce Type: new Abstract: The dissemination of scholarly research is critical, yet researchers often lack the time and skills to create engaging content for...
arXiv:2601.18220v1 Announce Type: new Abstract: Forced alignment (FA) predicts start and end timestamps for words or characters in speech, but existing methods are language-specific and...
arXiv:2601.18222v1 Announce Type: new Abstract: Deep homography estimation has broad applications in computer vision and robotics. Remarkable progresses have been achieved while the existing methods...
arXiv:2601.18224v1 Announce Type: new Abstract: We study the generalized conditional gradient (GCG) method for time-dependent second-order mean field games (MFG) with local coupling terms. While...
arXiv:2601.18225v1 Announce Type: new Abstract: Large language model (LLM)-based agents are increasingly deployed in e-commerce shopping. To perform thorough, user-tailored product searches, agents should interpret...
arXiv:2601.18226v1 Announce Type: new Abstract: Conventional agent systems often struggle in open-ended environments where task distributions continuously drift and external supervision is scarce. Their reliance...
arXiv:2601.18228v1 Announce Type: new Abstract: Detection of human emotions based on facial images in real-world scenarios is a difficult task due to low image quality,...
arXiv:2601.18230v1 Announce Type: new Abstract: This chapter examines the evolution of library services at the University of Li\`ege (ULi\`ege), with a focus on the implementation...
arXiv:2601.18231v1 Announce Type: new Abstract: Adapting pre-trained models to unseen feature modalities has become increasingly important due to the growing need for cross-disciplinary knowledge integration.~A...
arXiv:2601.18232v1 Announce Type: new Abstract: Approximating the permanent of a complex-valued matrix is a fundamental problem with applications in Boson sampling and probabilistic inference. In...
arXiv:2601.18234v1 Announce Type: new Abstract: Generative Artificial Intelligence (GenAI) is rapidly becoming embedded in Saudi Arabia's digital transformation under Vision 2030, yet public awareness, adoption,...
arXiv:2601.18238v1 Announce Type: new Abstract: Professionals working in technical domain typically hand-draw (on whiteboard, paper, etc.) technical diagrams (e.g., flowcharts, block diagrams, etc.) during discussions;...
arXiv:2601.18239v1 Announce Type: new Abstract: Meta-analyses and systematic reviews demand rigorous abductive reasoning to build, test, and refine hypotheses across vast, heterogeneous literature. While NLP...
arXiv:2601.18240v1 Announce Type: new Abstract: Multimodal Large Language Models (MLLMs) have shown remarkable capability in assisting disease diagnosis in medical visual question answering (VQA). However,...
arXiv:2601.18241v1 Announce Type: new Abstract: While Large Language Models (LLMs) have shown promise in software engineering, their application to unit testing remains largely confined to...
arXiv:2601.18242v1 Announce Type: new Abstract: Accurate radio-frequency (RF) material parameters are essential for electromagnetic digital twins in 6G systems, yet gradient-based inverse ray tracing (RT)...
arXiv:2601.18245v1 Announce Type: new Abstract: Phase retrieval is the classical problem of recovering a signal $x^* \in \mathbb{R}^n$ from its noisy phaseless measurements $y_i =...
arXiv:2601.18250v1 Announce Type: new Abstract: Musculoskeletal disorders represent a leading cause of global disability, creating an urgent demand for precise interpretation of medical imaging. Current...
arXiv:2601.18251v1 Announce Type: new Abstract: Click-through rate (CTR) prediction plays a pivotal role in online advertising and recommender systems. Despite notable progress in modeling user...
arXiv:2601.18252v1 Announce Type: new Abstract: Wireframe parsing aims to recover line segments and their junctions to form a structured geometric representation useful for downstream tasks...