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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...
arXiv:2601.18253v1 Announce Type: new Abstract: Accurate evaluation of user satisfaction is critical for iterative development of conversational AI. However, for open-ended assistants, traditional A/B testing...
arXiv:2601.18255v1 Announce Type: new Abstract: Continual learning in Large Language Models (LLMs) faces the critical challenge of balancing stability (retaining old knowledge) and plasticity (learning...
arXiv:2601.18256v1 Announce Type: new Abstract: Wi-Fi access points have been widely deployed in homes, offices, and public spaces. Some APs allow users to adjust the...
arXiv:2601.18260v1 Announce Type: new Abstract: Automated patient positioning plays an important role in optimizing scanning procedure and improving patient throughput. Leveraging depth information captured by...
arXiv:2601.18261v1 Announce Type: new Abstract: Catastrophic forgetting impairs the continuous learning of large language models. We propose Fisher-Guided Gradient Masking (FGGM), a framework that mitigates...
arXiv:2601.18263v1 Announce Type: new Abstract: Aerial images play a vital role in urban planning and environmental preservation, as they consist of various structures, representing different...
arXiv:2601.18264v1 Announce Type: new Abstract: Universal approximation theory offers a foundational framework to verify neural network expressiveness, enabling principled utilization in real-world applications. However, most...
arXiv:2601.18267v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) shows promise for enterprise knowledge work, yet it often underperforms in high-stakes decision settings that require deep...
arXiv:2601.18271v1 Announce Type: new Abstract: In some areas of computing, natural language processing and information science, progress is made by sharing datasets and challenging the...
arXiv:2601.18274v1 Announce Type: new Abstract: In recent years, Spiking Neural Networks (SNNs) have achieved remarkable progress, with Spiking Transformers emerging as a promising architecture for...
arXiv:2601.18275v1 Announce Type: new Abstract: Powered by large language models, a new genre of multi-agent social platforms has emerged. Apps such as Social.AI deploy numerous...
arXiv:2601.18278v1 Announce Type: new Abstract: In many scientific and data-driven applications, machine learning models are increasingly used as measurement instruments, rather than merely as predictors...
arXiv:2601.18280v1 Announce Type: new Abstract: Optoacoustic (OA) imaging has emerged as a powerful investigation tool, with demonstrated applicability in oncology, neuroscience, and cardiovascular biology. However,...