Stay updated with the latest research and technology news
arXiv:2602.10495v1 Announce Type: new Abstract: Multi-Resolution Hash Encoding (MHE), the foundational technique behind Instant Neural Graphics Primitives, provides a powerful parameterization for neural fields. However,...
arXiv:2602.10496v1 Announce Type: new Abstract: We investigate the geometric structure of learning dynamics in overparameterized transformer models through carefully controlled modular arithmetic tasks. Our primary...
arXiv:2602.10498v1 Announce Type: new Abstract: LLM agents often rely on Skills to describe available tools and recommended procedures. We study a hidden-comment prompt injection risk...
arXiv:2602.10500v1 Announce Type: new Abstract: This study introduces the Garbage Dataset (GD), a publicly available image dataset designed to advance automated waste segregation through machine...
arXiv:2602.10501v1 Announce Type: new Abstract: Homework tutoring work is a demanding and often conflict-prone practice in family life, and parents often lack targeted support for...
arXiv:2602.10502v1 Announce Type: new Abstract: The proliferation of ride-hailing services has fundamentally transformed urban mobility patterns, making accurate ride-hailing forecasting crucial for optimizing passenger experience...
arXiv:2602.10503v1 Announce Type: new Abstract: Pretrained on large-scale and diverse datasets, VLA models demonstrate strong generalization and adaptability as general-purpose robotic policies. However, Supervised Fine-Tuning...
arXiv:2602.10504v1 Announce Type: new Abstract: Knowledge-Editing-based (KE-based) detoxification has emerged as a promising approach for mitigating harmful behaviours in Large Language Models. Existing evaluations, however,...
arXiv:2602.10505v1 Announce Type: new Abstract: This paper aims to apply two major scaling transformations from the computing packaging industry to internet routers: the heterogeneous integration...
arXiv:2602.10506v1 Announce Type: new Abstract: Graph Domain Adaptation (GDA) aims to bridge distribution shifts between domains by transferring knowledge from well-labeled source graphs to given...
arXiv:2602.10508v1 Announce Type: new Abstract: Modern segmentation models achieve strong predictive performance but remain largely opaque, limiting our ability to diagnose failures, understand dataset shift,...
arXiv:2602.10512v1 Announce Type: new Abstract: We develop a theoretical analysis of LLM-guided formal theorem proving in interactive proof assistants (e.g., Lean) by modeling tactic proposal...
arXiv:2602.10513v1 Announce Type: new Abstract: Deploying vision foundation models typically relies on efficient adaptation strategies, whereas conventional full fine-tuning suffers from prohibitive costs and low...
arXiv:2602.10514v1 Announce Type: new Abstract: While single-agent legged locomotion has witnessed remarkable progress, individual robots remain fundamentally constrained by physical actuation limits. To transcend these...
arXiv:2602.10516v1 Announce Type: new Abstract: Audio-driven 3D talking avatar generation is increasingly important in virtual communication, digital humans, and interactive media, where avatars must preserve...
arXiv:2602.10518v1 Announce Type: new Abstract: Maps are powerful carriers of structured and contextual knowledge, encompassing geography, demographics, infrastructure, and environmental patterns. Reasoning over such knowledge...
arXiv:2602.10520v1 Announce Type: new Abstract: Looped Language Models (LoopLMs) perform multi-step latent reasoning prior to token generation and outperform conventional LLMs on reasoning benchmarks at...
arXiv:2602.10522v1 Announce Type: new Abstract: Large Language Models (LLMs) have significantly advanced automated test generation, yet existing methods often rely on ground-truth code for verification,...
arXiv:2602.10523v1 Announce Type: new Abstract: In this paper, we investigate scale-free delta-level coherent output synchronization for multi-agent systems (MAS) operating under bounded disturbances or noises....
arXiv:2602.10524v1 Announce Type: new Abstract: Normal-form proper equilibrium, introduced by Myerson as a refinement of normal-form perfect equilibrium, occupies a distinctive position in the equilibrium...
arXiv:2602.10525v1 Announce Type: new Abstract: Long-horizon workflow agents that operate effectively over extended periods are essential for truly autonomous systems. Their reliable execution critically depends...
arXiv:2602.10526v1 Announce Type: new Abstract: The rapid growth of data centers driven by cloud computing and artificial intelligence is reshaping infrastructure planning and environmental governance...
arXiv:2602.10527v1 Announce Type: new Abstract: The integration of artificial intelligence (AI) into healthcare is accelerating, yet medical education has not kept pace with these technological...
arXiv:2602.10528v1 Announce Type: new Abstract: Electroencephalography (ECoG) offers a promising alternative to conventional electrocorticography (EEG) for the early prediction of Parkinson's disease (PD), providing higher...