Stay updated with the latest research and technology news
arXiv:2603.00925v1 Announce Type: new Abstract: Effective mathematics education requires identifying and responding to students' mistakes. For AI to support pedagogical applications, models must perform well...
arXiv:2603.00926v1 Announce Type: new Abstract: In dynamic environments such as warehouses, hospitals, and homes, robots must seamlessly transition between gross motion and precise manipulations to...
arXiv:2603.00930v1 Announce Type: new Abstract: We introduce an information-theoretic framework for caching in derivation-based reasoning engines under independent premise erasure. Two decoder models are compared:...
arXiv:2603.00931v1 Announce Type: new Abstract: Accurate weight estimation of commercial and industrial waste is important for efficient operations, yet image-based estimation remains difficult because similar-looking...
arXiv:2603.00938v1 Announce Type: new Abstract: High Dynamic Range (HDR) user-generated (UGC) videos are rapidly proliferating across social platforms, yet most perceptual video quality assessment (VQA)...
arXiv:2603.00941v1 Announce Type: new Abstract: Evaluating ASR systems for Indian languages is challenging due to spelling variations, suffix splitting flexibility, and non-standard spellings in code-mixed...
arXiv:2603.00943v1 Announce Type: new Abstract: In industrial automation or emergency rescue, sensors and robots work together with the help of an edge information hub (EIH)...
arXiv:2603.00947v1 Announce Type: new Abstract: Virtual try-on (VTON) has recently achieved impressive visual fidelity, but most existing systems require uploading personal photos to cloud-based GPUs,...
arXiv:2603.00948v1 Announce Type: new Abstract: Controlling soccer robots involves multi-time-scale decision-making, which requires balancing long-term tactical planning and short-term motion execution. Traditional end-to-end reinforcement learning...
arXiv:2603.00949v1 Announce Type: new Abstract: Recently, Instant Neural Graphics Primitives (Instant-NGP) has achieved significant success in rapid 3D scene reconstruction, but securely embedding high-capacity hidden...
arXiv:2603.00950v1 Announce Type: new Abstract: As quantum computing platforms increasingly adopt cloud-based execution, users submit quantum circuits to remote compilers and backends, trusting that what...
arXiv:2603.00951v1 Announce Type: new Abstract: Contrastive Forward-Forward (CFF) learning trains Vision Transformers layer by layer against supervised contrastive objectives. CFF training can be sensitive to...
arXiv:2603.00952v1 Announce Type: new Abstract: High-fidelity reconstruction of dynamic scenes is an important yet challenging problem. While recent 4D Gaussian Splatting (4DGS) has demonstrated the...
arXiv:2603.00959v1 Announce Type: new Abstract: Multi Scale Deformable Attention (MSDAttn) has become a fundamental component in various vision tasks due to its effective multi scale...
arXiv:2603.00960v1 Announce Type: new Abstract: Modern web applications are increasingly produced through AI-assisted development and rapid no-code deployment pipelines, widening the gap between accelerating software...
arXiv:2603.00963v1 Announce Type: new Abstract: While reinforcement learning (RL) has been central to the recent success of large language models (LLMs), RL optimization is notoriously...
arXiv:2603.00972v1 Announce Type: new Abstract: Exploring and inspecting \emph{Hidden Spaces}, defined as environments whose entrances are accessible only to aerial robots but remain unexplored due...
arXiv:2603.00974v1 Announce Type: new Abstract: Autonomous UAV infiltration in dynamic contested environments remains a significant challenge due to the partially observable nature of threats and...
arXiv:2603.00975v1 Announce Type: new Abstract: Unlearning in text-to-image diffusion models often leads to uneven concept removal and unintended forgetting of unrelated capabilities. This complicates tasks...
arXiv:2603.00976v1 Announce Type: new Abstract: High computational costs and slow inference hinder the practical application of video generation models. While prior works accelerate the generation...
arXiv:2603.00977v1 Announce Type: new Abstract: Large language model (LLM) agents have recently demonstrated strong capabilities in interactive decision-making, yet they remain fundamentally limited in long-horizon...
arXiv:2603.00978v1 Announce Type: new Abstract: Removing undesired concepts from large-scale text-to-image (T2I) and text-to-video (T2V) diffusion models while preserving overall generative quality remains a major...
arXiv:2603.00979v1 Announce Type: new Abstract: Vision Transformers (ViTs) excel in 3D medical segmentation but require massive annotated datasets. While Self-Supervised Learning (SSL) mitigates this using...
arXiv:2603.00980v1 Announce Type: new Abstract: Generative Recommenders (GRs), exemplified by the Hierarchical Sequential Transduction Unit (HSTU), have emerged as a powerful paradigm for modeling long...