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arXiv:2603.03578v1 Announce Type: new Abstract: Optimal transport (OT) finds a least cost transport plan between two probability distributions using a cost matrix defined on pairs...
arXiv:2603.03579v1 Announce Type: new Abstract: Radio sensing in the sub-10 GHz spectrum offers unique advantages over traditional vision-based systems, including the ability to see through...
arXiv:2603.03580v1 Announce Type: new Abstract: Scene text recognition (STR) and handwritten text recognition (HTR) face significant challenges in accurately transcribing textual content from images into...
arXiv:2603.03583v1 Announce Type: new Abstract: Modern language models still rely on fixed, pre-defined subword tokenizations. Once a tokenizer is trained, the LM can only operate...
arXiv:2603.03584v1 Announce Type: new Abstract: Maintaining situational awareness in complex driving scenarios is challenging. It requires continuously prioritizing attention among extensive scene entities and understanding...
arXiv:2603.03585v1 Announce Type: new Abstract: Misinformation is a growing societal threat, and susceptibility to misinformative claims varies across demographic groups due to differences in underlying...
arXiv:2603.03589v1 Announce Type: new Abstract: Recent advances in large language models (LLMs) transform how machine learning (ML) pipelines are developed and evaluated. LLMs enable a...
arXiv:2603.03590v1 Announce Type: new Abstract: In Multi-Agent Systems (MAS), agents are designed with social capabilities, allowing them to understand and reason about social concepts such...
arXiv:2603.03592v1 Announce Type: new Abstract: Decentralized training introduces critical security risks when executed across untrusted, geographically distributed nodes. While existing Byzantine-tolerant literature addresses data parallel...
arXiv:2603.03595v1 Announce Type: new Abstract: Coordinating multiple autonomous agents to explore and serve spatially heterogeneous demand requires jointly learning unknown spatial patterns and planning trajectories...
arXiv:2603.03596v1 Announce Type: new Abstract: Conventionally, memory in end-to-end robotic learning involves inputting a sequence of past observations into the learned policy. However, in complex...
arXiv:2603.03597v1 Announce Type: new Abstract: The rapid progress of large language models (LLMs) is increasingly constrained by memory and deployment costs, motivating compression methods for...
arXiv:2603.03598v1 Announce Type: new Abstract: Convolutional Neural Networks (CNNs) have achieved state-of-the-art accuracy in Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR). However, their high...
arXiv:2603.03602v1 Announce Type: new Abstract: The automatic design of a 3D tooth model plays a crucial role in dental digitization. However, current approaches face challenges...
arXiv:2603.03603v1 Announce Type: new Abstract: In animal facilities, continuous surveillance of penguins is essential yet technically challenging due to their homogeneous visual characteristics, rapid and...
arXiv:2603.03604v1 Announce Type: new Abstract: The social structures of group-living animals such as feral horses are diverse and remain insufficiently understood, even within a single...
arXiv:2603.03605v1 Announce Type: new Abstract: The development of user-friendly embedded prototyping systems like Arduino has made creating interactive devices more accessible. However, debugging these systems...
arXiv:2603.03606v1 Announce Type: new Abstract: People with Blind Visual Impairments (BVI) face unique challenges when sharing images, as these may accidentally contain sensitive or inappropriate...
arXiv:2603.03607v1 Announce Type: new Abstract: ISAC is an emerging paradigm in 6G networks that enables environmental sensing using wireless communication infrastructure. Current O-RAN specifications lack...
arXiv:2603.03610v1 Announce Type: new Abstract: Understanding how systems built out of modular components can be jointly optimized is an important problem in biology, engineering, and...
arXiv:2603.03612v1 Announce Type: new Abstract: The community is increasingly exploring linear RNNs (LRNNs) as language models, motivated by their expressive power and parallelizability. While prior...
arXiv:2603.03614v1 Announce Type: new Abstract: Tangible interactions involve multiple sensory cues, enabling the accurate perception of object properties, such as size. Research has shown, however,...
arXiv:2603.03615v1 Announce Type: new Abstract: Multi-view image compression (MIC) aims to achieve high compression efficiency by exploiting inter-image correlations, playing a crucial role in 3D...
arXiv:2603.03616v1 Announce Type: new Abstract: Intelligent forest tree breeding has advanced plant phenotyping, yet existing research largely focuses on large-leaf agricultural crops, with limited attention...