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arXiv:2602.17095v1 Announce Type: new Abstract: Parameter-efficient fine-tuning techniques such as low-rank adaptation (LoRA) enable large language models (LLMs) to adapt to downstream tasks efficiently. Federated...
arXiv:2602.17096v1 Announce Type: new Abstract: As 6G wireless systems evolve, growing functional complexity and diverse service demands are driving a shift from rule-based control to...
arXiv:2602.17097v1 Announce Type: new Abstract: Despite recent breakthroughs, audio foundation models struggle in processing complex multi-source acoustic scenes. We refer to this challenging domain as...
arXiv:2602.17099v1 Announce Type: new Abstract: Approximate $k$ nearest neighbor (AKNN) search in high-dimensional space is a foundational problem in vector databases with widespread applications. Among...
arXiv:2602.17100v1 Announce Type: new Abstract: Large language model(LLM)-driven multi-agent systems(MAS) coordinate specialized agents through predefined interaction topologies and have shown promise for complex tasks such...
arXiv:2602.17101v1 Announce Type: new Abstract: 3D reconstruction serves as the foundational layer for numerous robotic perception tasks, including 6D object pose estimation and grasp pose...
arXiv:2602.17102v1 Announce Type: new Abstract: This paper presents a serverless MLOps framework orchestrating the complete ML lifecycle from data ingestion, training, deployment, monitoring, and retraining...
arXiv:2602.17103v1 Announce Type: new Abstract: We investigate the recently introduced model of learning with improvements, where agents are allowed to make small changes to their...
arXiv:2602.17104v1 Announce Type: new Abstract: We propose a streamlined spectral algorithm for community detection in the two-community stochastic block model (SBM) under constant edge density...
arXiv:2602.17106v1 Announce Type: new Abstract: Sustainability or ESG rating agencies use company disclosures and external data to produce scores or ratings that assess the environmental,...
arXiv:2602.17107v1 Announce Type: new Abstract: Shapley value-based methods have become foundational in explainable artificial intelligence (XAI), offering theoretically grounded feature attributions through cooperative game theory....
arXiv:2602.17108v1 Announce Type: new Abstract: Thematic Apperception Test (TAT) is a psychometrically grounded, multidimensional assessment framework that systematically differentiates between cognitive-representational and affective-relational components of...
arXiv:2602.17110v1 Announce Type: new Abstract: A representation gap exists between grasp synthesis for rigid and soft grippers. Anygrasp [1] and many other grasp synthesis methods...
arXiv:2602.17111v1 Announce Type: new Abstract: Mastering educational concepts requires understanding both their prerequisites (e.g., recursion before merge sort) and sub-concepts (e.g., merge sort as part...
arXiv:2602.17112v1 Announce Type: new Abstract: Many OSS projects join foundations such as Apache, Eclipse, and OSGeo, to aid their immediate plans and improve long-term prospects...
arXiv:2602.17114v1 Announce Type: new Abstract: With the availability of automation machinery and its superiority, are being slothful and inviting many diseases to invade them. The...
arXiv:2602.17116v1 Announce Type: new Abstract: Generative AI presents an unprecedented challenge to our understanding of knowledge and its production. Unlike previous technological transformations, where engineering...
arXiv:2602.17117v1 Announce Type: new Abstract: Physical simulation predicts future states of objects based on material properties and external loads, enabling blueprints for both Industry and...
arXiv:2602.17118v1 Announce Type: new Abstract: Electromagnetic transient (EMT) simulation is essential for analyzing sub-cycle switching phenomena in industrial power systems; however, commercial EMT platforms present...
arXiv:2602.17119v1 Announce Type: new Abstract: Domain-specific accelerators deliver exceptional performance on their target workloads through fabrication-time orchestrated datapaths. However, such specialized architectures often exhibit performance...
arXiv:2602.17122v1 Announce Type: new Abstract: Nonstationary time series forecasting suffers from the distribution shift issue due to the different distributions that produce the training and...
arXiv:2602.17123v1 Announce Type: new Abstract: Augmented reality (AR)-enabled Metaverse is a promising technique to provide immersive service experience for mobile users. However, the limited network...
arXiv:2602.17124v1 Announce Type: new Abstract: 3D scene reconstruction and rendering are core tasks in computer vision, with applications spanning industrial monitoring, robotics, and autonomous driving....
arXiv:2602.17127v1 Announce Type: new Abstract: As Large Language Models (LLMs) transition from standalone chat interfaces to foundational reasoning layers in multi-agent systems and recursive evaluation...