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arXiv:2602.21650v1 Announce Type: new Abstract: Public policy decisions are typically justified using a narrow set of headline indicators, leaving many downstream social impacts unstructured and...
arXiv:2602.21652v1 Announce Type: new Abstract: Large language models have demonstrated capabilities in text generation, while their increasing parameter scales present challenges in computational and memory...
arXiv:2602.21653v1 Announce Type: new Abstract: Large language models (LLMs) have rapidly shifted from peripheral assistive tools to constant companions in everyday and even high stakes...
arXiv:2602.21655v1 Announce Type: new Abstract: Image captioning remains a fundamental task for vision language understanding, yet ground-truth supervision still relies predominantly on human-annotated references. Because...
arXiv:2602.21657v1 Announce Type: new Abstract: Computer-aided diagnosis (CAD) has significantly advanced automated chest X-ray diagnosis but remains isolated from clinical workflows and lacks reliable decision...
arXiv:2602.21662v1 Announce Type: new Abstract: Learning-based point cloud compression presents superior performance to handcrafted codecs. However, pretrained-based methods, which are based on end-to-end training and...
arXiv:2602.21666v1 Announce Type: new Abstract: It remains challenging to achieve human-like locomotion in legged robots due to fundamental discrepancies between biological and mechanical structures. Although...
arXiv:2602.21667v1 Announce Type: new Abstract: Collaborative perception allows connected vehicles to overcome occlusions and limited viewpoints by sharing sensory information. However, existing approaches struggle to...
arXiv:2602.21668v1 Announce Type: new Abstract: Forecasting dynamic scenes remains a fundamental challenge in computer vision, as limited observations make it difficult to capture coherent object-level...
arXiv:2602.21669v1 Announce Type: new Abstract: Knowledge Distillation (KD) has emerged as a crucial technique for compressing Large Language Models (LLMs). Although existing cross-tokenizer KD methods...
arXiv:2602.21670v1 Announce Type: new Abstract: Multi-robot task planning requires decomposing natural-language instructions into executable actions for heterogeneous robot teams. Conventional Planning Domain Definition Language (PDDL)...
arXiv:2602.21672v1 Announce Type: new Abstract: The sixth generation (6G) network is expected to deploy larger multiple-input multiple-output (MIMO) arrays to support massive connectivity, which will...
arXiv:2602.21674v1 Announce Type: new Abstract: Active automata learning (AAL) algorithms can learn a behavioral model of a system from interacting with it. The primary challenge...
arXiv:2602.21677v1 Announce Type: new Abstract: Generative recommendation (GR) aligns with advances in generative AI by casting next-item prediction as token-level generation rather than score-based ranking....
arXiv:2602.21680v1 Announce Type: new Abstract: Cooperative Multi-Agent Reinforcement Learning (MARL) solves complex tasks that require coordination from multiple agents, but is often limited to either...
arXiv:2602.21681v1 Announce Type: new Abstract: Eliminating undefined behaviors (UBs) in Rust programs requires a deep semantic understanding to enable accurate and reliable repair. While existing...
arXiv:2602.21682v1 Announce Type: new Abstract: Autonomous parking fundamentally differs from on-road driving due to its frequent direction changes and complex maneuvering requirements. However, existing End-to-End...
arXiv:2602.21684v1 Announce Type: new Abstract: Multi-modal distribution in robotic manipulation action sequences poses critical challenges for imitation learning. To this end, existing approaches often model...
arXiv:2602.21685v1 Announce Type: new Abstract: In recent decades, the study of fracture propagation in solids has increasingly relied on phase-field models. Several recent contributions have...
arXiv:2602.21686v1 Announce Type: new Abstract: Sharing gendered experiences on social media has been widely recognized as supporting women's personal sense-making and contributing to digital feminism....
arXiv:2602.21691v1 Announce Type: new Abstract: Trajectory generation for visually impaired scenarios requires smooth and temporally consistent state in structured, low-speed dynamic environments. However, traditional jerk-based...
arXiv:2602.21693v1 Announce Type: new Abstract: Multimodal time series forecasting has garnered significant attention for its potential to provide more accurate predictions than traditional single-modality models...
arXiv:2602.21696v1 Announce Type: new Abstract: Winged blimps operate across distinct aerodynamic regimes that cannot be adequately captured by a single model. At high speeds and...
arXiv:2602.21697v1 Announce Type: new Abstract: Large language models (LLMs) for code editing have achieved remarkable progress, yet recent empirical studies reveal a fundamental disconnect between...