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arXiv:2603.03815v1 Announce Type: new Abstract: The goal of Open-Vocabulary Compositional Zero-Shot Learning (OV-CZSL) is to recognize attribute-object compositions in the open-vocabulary setting, where compositions of...
arXiv:2603.03818v1 Announce Type: new Abstract: Continual learning is a long-standing challenge in robot policy learning, where a policy must acquire new skills over time without...
arXiv:2603.03820v1 Announce Type: new Abstract: Interactive recommender systems (IRS) are increasingly optimized with Reinforcement Learning (RL) to capture the sequential nature of user-system dynamics. However,...
arXiv:2603.03823v1 Announce Type: new Abstract: Large language model (LLM)-powered agents have demonstrated strong capabilities in automating software engineering tasks such as static bug fixing, as...
arXiv:2603.03824v1 Announce Type: new Abstract: Humans often become more self-aware under threat, yet can lose self-awareness when absorbed in a task; we hypothesize that language...
arXiv:2603.03825v1 Announce Type: new Abstract: The cold-start initialization stage plays a pivotal role in training Multimodal Large Reasoning Models (MLRMs), yet its mechanisms remain insufficiently...
arXiv:2603.03827v1 Announce Type: new Abstract: Multimodal intent recognition aims to infer human intents by jointly modeling various modalities, playing a pivotal role in real-world dialogue...
arXiv:2603.03830v1 Announce Type: new Abstract: Overparameterized machine learning (ML) methods such as neural networks may be prohibitively resource intensive for devices with limited computational capabilities....
arXiv:2603.03831v1 Announce Type: new Abstract: Pansharpening generates the high-resolution multi-spectral (MS) image by integrating spatial details from a texture-rich panchromatic (PAN) image and spectral attributes...
arXiv:2603.03836v1 Announce Type: new Abstract: Recent progress in vision-language-action (VLA) models has demonstrated strong potential for dual-arm manipulation, enabling complex behaviors and generalization to unseen...
arXiv:2603.03839v1 Announce Type: new Abstract: Image restoration represents a promising approach for addressing the inherent defects of image content distortion. Standard image restoration approaches suffer...
arXiv:2603.03841v1 Announce Type: new Abstract: Error-correcting codes are a method for representing data, so that one can recover the original information even if some parts...
arXiv:2603.03844v1 Announce Type: new Abstract: Distribution shifts between training and testing data are a critical bottleneck limiting the practical utility of models, especially in real-world...
arXiv:2603.03846v1 Announce Type: new Abstract: Motivational interviewing (MI) promotes behavioural change in substance use disorders. Its fidelity is measured using the Motivational Interviewing Treatment Integrity...
arXiv:2603.03847v1 Announce Type: new Abstract: The $hp$ local discontinuous Galerkin (LDG) method proposed by Castillo et al. [Math. Comp.,~71 (238): 455-478, 2002] has been shown...
arXiv:2603.03848v1 Announce Type: new Abstract: As Intelligent Transportation System (ITS) develops, Connected and Automated Vehicles (CAVs) are expected to significantly reduce traffic congestion through cooperative...
arXiv:2603.03855v1 Announce Type: new Abstract: Audio LLMs have shown a strong ability to understand audio samples, yet their reliability in complex acoustic scenes remains under-explored....
arXiv:2603.03856v1 Announce Type: new Abstract: Rhetorical Role Labeling (RRL) identifies the functional role of each sentence in a document, a key task for discourse understanding...
arXiv:2603.03857v1 Announce Type: new Abstract: Humans can robustly localize visual evidence and provide grounded answers even in noisy environments by identifying critical cues and then...
arXiv:2603.03862v1 Announce Type: new Abstract: As mental health issues continue to rise globally, there is an increasing demand for accessible and scalable therapeutic solutions. Many...
arXiv:2603.03865v1 Announce Type: new Abstract: While federated learning protects data privacy, it also makes the model update process vulnerable to long-term stealthy perturbations. Existing studies...
arXiv:2603.03867v1 Announce Type: new Abstract: Link prediction (LP) plays a central role in graph-based applications, particularly in social recommendation. However, real-world graphs often reflect structural...
arXiv:2603.03871v1 Announce Type: new Abstract: Infrared and visible image fusion (IVIF) integrates complementary modalities to enhance scene perception. Current methods predominantly focus on optimizing handcrafted...
arXiv:2603.03872v1 Announce Type: new Abstract: Large Reasoning Models have demonstrated remarkable performance with the advancement of test-time scaling techniques, which enhances prediction accuracy by generating...