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arXiv:2602.21140v1 Announce Type: new Abstract: As LLM deployments scale over more hardware, the probability of a single failure in a system increases significantly, and cloud...
arXiv:2602.21141v1 Announce Type: new Abstract: Object perception is fundamental for tasks such as robotic material handling and quality inspection. However, modern supervised deep-learning perception models...
arXiv:2602.21142v1 Announce Type: new Abstract: Large vision-language models (VLMs) have evolved from general-purpose applications to specialized use cases such as in the clinical domain, demonstrating...
arXiv:2602.21144v1 Announce Type: new Abstract: Selective state space models (SSMs) have rapidly become a compelling backbone for large language models, especially for long-context workloads. Yet...
arXiv:2602.21146v1 Announce Type: new Abstract: While tensor-based methods excel at Direction-of-Arrival (DOA) estimation, their performance degrades severely with faulty or sparse arrays that violate the...
arXiv:2602.21148v1 Announce Type: new Abstract: In this paper, we propose the problem of Encounter-Driven Information Diffusion (EDID). In EDID, robots are allowed to exchange information...
arXiv:2602.21153v1 Announce Type: new Abstract: We present SPRITETOMESH, a fully automatic pipeline for converting 2D game sprite images into triangle meshes compatible with skeletal animation...
arXiv:2602.21154v1 Announce Type: new Abstract: Accurate interpretation of electrocardiogram (ECG) signals is crucial for diagnosing cardiovascular diseases. Recent multimodal approaches that integrate ECGs with accompanying...
arXiv:2602.21155v1 Announce Type: new Abstract: Early diagnosis of battery thermal anomalies is crucial to ensure safe and reliable battery operation by preventing catastrophic thermal failures....
arXiv:2602.21157v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models have shown strong performance in robotic manipulation, but often struggle in long-horizon or out-of-distribution scenarios due to...
arXiv:2602.21158v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly deployed as multi-step decision-making agents, where effective reward design is essential for guiding learning....
arXiv:2602.21161v1 Announce Type: new Abstract: Classical robotic systems typically rely on custom planners designed for constrained environments. While effective in restricted settings, these systems lack...
arXiv:2602.21162v1 Announce Type: new Abstract: Pinching antenna systems (PASS) have recently emerged as a promising architecture for high-frequency wireless communications. In this letter, we investigate...
arXiv:2602.21165v1 Announce Type: new Abstract: Patient-generated text such as secure messages, surveys, and interviews contains rich expressions of the patient voice (PV), reflecting communicative behaviors...
arXiv:2602.21167v1 Announce Type: new Abstract: Pinching-antenna systems have recently emerged as a promising solution for enhancing coverage in high-frequency wireless communications by guiding signals through...
arXiv:2602.21168v1 Announce Type: new Abstract: Counterfactual inference enables clinicians to ask "what if" questions about patient outcomes, but standard methods assume feature independence and simultaneous...
arXiv:2602.21172v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models are advancing autonomous driving by replacing modular pipelines with unified end-to-end architectures. However, current VLAs face two...
arXiv:2602.21174v1 Announce Type: new Abstract: Hierarchical, multi-resolution volumetric mapping approaches are widely used to represent large and complex environments as they can efficiently capture their...
arXiv:2602.21175v1 Announce Type: new Abstract: Text-to-image retrieval is a fundamental task in vision-language learning, yet in real-world scenarios it is often challenged by short and...
arXiv:2602.21178v1 Announce Type: new Abstract: Deep learning has significantly advanced automated brain tumor diagnosis, yet clinical adoption remains limited by interpretability and computational constraints. Conventional...
arXiv:2602.21179v1 Announce Type: new Abstract: Graph-based medical image segmentation represents anatomical structures using boundary graphs, providing fixed-topology landmarks and inherent population-level correspondences. However, their clinical...
arXiv:2602.21180v1 Announce Type: new Abstract: Machine learning and data systems increasingly function as infrastructures of memory: they ingest, store, and operationalize traces of personal, political,...
arXiv:2602.21182v1 Announce Type: new Abstract: The CAP theorem is routinely treated as a systems law: under network partition, a replicated service must sacrifice either consistency...
arXiv:2602.21183v1 Announce Type: new Abstract: Bengali, despite being one of the most widely spoken languages globally, remains underrepresented in long form speech technology, particularly in...