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arXiv:2602.19525v1 Announce Type: new Abstract: You find a stain on the wall and decide to cover it with non-overlapping stickers of a single identical shape...
arXiv:2602.19526v1 Announce Type: new Abstract: Deep Research agents tackle knowledge-intensive tasks through multi-round retrieval and decision-oriented generation. While reinforcement learning (RL) has been shown to...
arXiv:2602.19528v1 Announce Type: new Abstract: Crash classification models in transportation safety are typically evaluated using accuracy, F1, or AUC, metrics that cannot reveal whether a...
arXiv:2602.19530v1 Announce Type: new Abstract: Vision language models (VLMs) have demonstrated remarkable generalization across diverse tasks, yet their performance remains constrained by the quality and...
arXiv:2602.19531v1 Announce Type: new Abstract: Irregular multivariate time series with missing values present significant challenges for predictive modeling in domains such as healthcare. While deep...
arXiv:2602.19532v1 Announce Type: new Abstract: Real-world tasks involve nuanced combinations of goal and safety specifications. In high dimensions, the challenge is exacerbated: formal automata become...
arXiv:2602.19533v1 Announce Type: new Abstract: This paper investigates the grokking phenomenon, which refers to the sudden transition from a long memorization to generalization observed during...
arXiv:2602.19534v1 Announce Type: new Abstract: Uncrewed Aerial Vehicles (UAVs) are widely deployed across diverse applications due to their mobility and agility. Recent advances in Large...
arXiv:2602.19535v1 Announce Type: new Abstract: Given a fleet of drones with different speeds and a set of package delivery requests, the collaborative delivery problem asks...
arXiv:2602.19536v1 Announce Type: new Abstract: Linear modeling methods like Mamba have been merged as the effective backbone for the 3D object detection task. However, previous...
arXiv:2602.19538v1 Announce Type: new Abstract: Active search for recovering objects of interest through online, adaptive decision making with autonomous agents requires trading off exploration of...
arXiv:2602.19539v1 Announce Type: new Abstract: Age estimation systems are increasingly deployed as gatekeepers for age-restricted online content, yet their robustness to cosmetic modifications has not...
arXiv:2602.19540v1 Announce Type: new Abstract: This work proposes a green learning (GL) approach to restore medical images. Without loss of generality, we use low-dose computed...
arXiv:2602.19542v1 Announce Type: new Abstract: Text-guided 3D editing aims to modify existing 3D assets using natural-language instructions. Current methods struggle to jointly understand complex prompts,...
arXiv:2602.19543v1 Announce Type: new Abstract: Knowledge hypergraphs surpass traditional binary knowledge graphs by encapsulating complex $n$-ary atomic facts, providing a more comprehensive paradigm for semantic...
arXiv:2602.19547v1 Announce Type: new Abstract: LLM-based code interpreter agents are increasingly deployed in critical workflows, yet their robustness against risks introduced by their code execution...
arXiv:2602.19548v1 Announce Type: new Abstract: One of the first pre-processing steps for constructing web-scale LLM pretraining datasets involves extracting text from HTML. Despite the immense...
arXiv:2602.19549v1 Announce Type: new Abstract: Visual Document Retrieval (VDR), which aims to retrieve relevant pages within vast corpora of visually-rich documents, is of significance in...
arXiv:2602.19550v1 Announce Type: new Abstract: The Ring-Learning With Errors (RLWE) problem forms the backbone of highly efficient Fully Homomorphic Encryption (FHE) schemes. A significant component...
arXiv:2602.19552v1 Announce Type: new Abstract: In this paper, we consider the problem of replicable realizable PAC learning. We construct a particularly hard learning problem and...
arXiv:2602.19554v1 Announce Type: new Abstract: Orientation and mobility (O&M) instruction for blind and low-vision learners is effective but difficult to standardize and repeat at scale...
arXiv:2602.19555v1 Announce Type: new Abstract: Agentic systems built on large language models (LLMs) extend beyond text generation to autonomously retrieve information and invoke tools. This...
arXiv:2602.19560v1 Announce Type: new Abstract: Ableist language perpetuates harmful stereotypes and exclusion, yet its nuanced nature makes it difficult to recognize and address. Artificial intelligence...
arXiv:2602.19562v1 Announce Type: new Abstract: Establishing stable mappings between natural language expressions and visual percepts is a foundational problem for both cognitive science and artificial...