Stay updated with the latest research and technology news
arXiv:2602.19198v1 Announce Type: new Abstract: Prompt tuning introduces learnable prompt vectors that adapt pretrained vision-language models to downstream tasks in a parameter-efficient manner. However, under...
arXiv:2602.19199v1 Announce Type: new Abstract: Non-fungible tokens (NFTs) on Ethereum currently follow a binary mobility paradigm: ERC-721 enables unrestricted transfers, whereas SBTs (ERC-5192) prohibit transfers...
arXiv:2602.19202v1 Announce Type: new Abstract: Event cameras excel at high-speed, low-power, and high-dynamic-range scene perception. However, as they fundamentally record only relative intensity changes rather...
arXiv:2602.19206v1 Announce Type: new Abstract: Zero-shot 3D Anomaly Detection is an emerging task that aims to detect anomalies in a target dataset without any target...
arXiv:2602.19207v1 Announce Type: new Abstract: Federated learning (FL) is a privacy-preserving machine learning paradigm that enables multiple parties to collaboratively train models on privately owned...
arXiv:2602.19208v1 Announce Type: new Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) has proven effective for Large Language Model (LLM) reasoning, yet current methods face key...
arXiv:2602.19212v1 Announce Type: new Abstract: Hateful content on social media increasingly appears as multimodal memes that combine images and text to convey harmful narratives. In...
arXiv:2602.19213v1 Announce Type: new Abstract: Medical image segmentation is vital for clinical diagnosis and quantitative analysis, yet remains challenging due to the heterogeneity of imaging...
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...