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arXiv:2602.19215v1 Announce Type: new Abstract: While many recent methods aim to unlearn or remove knowledge from pretrained models, seemingly erased knowledge often persists and can...
arXiv:2602.19217v1 Announce Type: new Abstract: With the rapid development of remote sensing image archives, asking questions about images has become an effective way of gathering...
arXiv:2602.19218v1 Announce Type: new Abstract: The ability to use tools is fundamental for large language model (LLM) agents. Given a task, existing systems use LLMs...
arXiv:2602.19219v1 Announce Type: new Abstract: Deep learning vision models excel with abundant supervision, but many applications face label scarcity and class imbalance. Controllable image editing...
arXiv:2602.19223v1 Announce Type: new Abstract: The optimization of urban energy systems is crucial for the advancement of sustainable and resilient smart cities, which are becoming...
arXiv:2602.19224v1 Announce Type: new Abstract: With the rapid development of remote sensing image archives, asking questions about images has become an effective way of gathering...
arXiv:2602.19225v1 Announce Type: new Abstract: Multi-turn LLM agents are becoming pivotal to production systems, spanning customer service automation, e-commerce assistance, and interactive task management, where...
arXiv:2602.19229v1 Announce Type: new Abstract: For substructural logics with contraction or weakening admitting cut-free sequent calculi, proof search was analyzed using well-quasi-orders on $\mathbb{N}^d$ (Dickson's...
arXiv:2602.19231v1 Announce Type: new Abstract: Digital collaboration systems support asynchronous work over replicated data, where conflicts arise when concurrent operations cannot be unambiguously integrated into...
arXiv:2602.19232v1 Announce Type: new Abstract: Online support communities have become vital spaces offering varied forms of support to individuals facing mental health challenges. Despite the...
arXiv:2602.19237v1 Announce Type: new Abstract: Tabular foundation models aim to make machine learning accessible for enterprise data without task-specific training. This paper presents the first...
arXiv:2602.19238v1 Announce Type: new Abstract: Spatially distributed cavity (SDC) lasers are a promising technology for simultaneous light information and power transfer (SLIPT), offering benefits such...
arXiv:2602.19240v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) enhances the reasoning ability of Large Language Models (LLMs) by dynamically integrating external knowledge, thereby mitigating hallucinations...
arXiv:2602.19242v1 Announce Type: new Abstract: Hierarchical Navigable Small World (HNSW) has demonstrated impressive accuracy and low latency for high-dimensional nearest neighbor searches. However, its high...
arXiv:2602.19243v1 Announce Type: new Abstract: Creating webpages requires generating content and arranging layout while iteratively refining both to achieve a coherent design, a process that...
arXiv:2602.19244v1 Announce Type: new Abstract: On-the-fly Directed Controller Synthesis (OTF-DCS) mitigates state-space explosion by incrementally exploring the system and relies critically on an exploration policy...
arXiv:2602.19248v1 Announce Type: new Abstract: The collection and detection of video anomaly data has long been a challenging problem due to its rare occurrence and...
arXiv:2602.19252v1 Announce Type: new Abstract: Underwater localization is essential for marine exploration and autonomous underwater operations, yet existing radio frequency and optical approaches are limited...
arXiv:2602.19253v1 Announce Type: new Abstract: Fuzzy systems show strong potential in explainable AI due to their rule-based architecture and linguistic variables. Existing approaches navigate the...
arXiv:2602.19254v1 Announce Type: new Abstract: Precise spatial control in diffusion-based style transfer remains challenging. This challenge arises because diffusion models treat style as a global...
arXiv:2602.19260v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models have recently been proposed as a pathway toward generalist robotic policies capable of interpreting natural language and...
arXiv:2602.19261v1 Announce Type: new Abstract: Reinforcement learning fine-tuning has proven effective for steering generative diffusion models toward desired properties in image and molecular domains. Graph...
arXiv:2602.19265v1 Announce Type: new Abstract: Solving partial differential equations (PDEs) by neural networks as well as Kolmogorov-Arnold Networks (KANs), including physics-informed neural networks (PINNs), physics-informed...
arXiv:2602.19268v1 Announce Type: new Abstract: This brief presents a runtime-adaptive, performance-enhanced vector engine featuring a low-resource, iterative CORDIC-based MAC unit for edge AI acceleration. The...