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arXiv:2602.13348v1 Announce Type: new Abstract: Small datasets like MNIST have historically been instrumental in advancing machine learning research by providing a controlled environment for rapid...
arXiv:2602.13349v1 Announce Type: new Abstract: Text-to-image models have made significant strides, producing impressive results in generating images from textual descriptions. However, creating a scalable pipeline...
arXiv:2602.13350v1 Announce Type: new Abstract: Brick kilns are a major source of air pollution and forced labor in South Asia, yet large-scale monitoring remains limited...
arXiv:2602.13351v1 Announce Type: new Abstract: Finite automata (FA) are a fundamental computational abstraction that is widely used in practice for various tasks in computer science,...
arXiv:2602.13352v1 Announce Type: new Abstract: Automated image captioning using the content from the image is very appealing when done by harnessing the capability of computer...
arXiv:2602.13353v1 Announce Type: new Abstract: Recent advances in mean-field game literature enable the reduction of large-scale multi-agent problems to tractable interactions between a representative agent...
arXiv:2602.13357v1 Announce Type: new Abstract: Diffusion Transformers (DiTs) achieve state-of-the-art performance in high-fidelity image and video generation but suffer from expensive inference due to their...
arXiv:2602.13358v1 Announce Type: new Abstract: In recent years, automated driving has become viable, and advanced driver assistance systems (ADAS) are now part of modern cars....
arXiv:2602.13359v1 Announce Type: new Abstract: Machine learning models excel with abundant annotated data, but annotation is often costly and time-intensive. Active learning (AL) aims to...
arXiv:2602.13361v1 Announce Type: new Abstract: Blind image separation (BIS) refers to the inverse problem of simultaneously estimating and restoring multiple independent source images from a...
arXiv:2602.13363v1 Announce Type: new Abstract: Large Language Models are expanding beyond being a tool humans use and into independent agents that can observe an environment,...
arXiv:2602.13367v1 Announce Type: new Abstract: We present Nanbeige4.1-3B, a unified generalist language model that simultaneously achieves strong agentic behavior, code generation, and general reasoning with...
arXiv:2602.13369v1 Announce Type: new Abstract: Classical path search assumes complete graphs and scalar optimization metrics, yet real infrastructure networks are incomplete and require multi-dimensional evaluation....
arXiv:2602.13370v1 Announce Type: new Abstract: Multi-agent systems powered by Large Language Models face a critical challenge: agents communicate through natural language, leading to semantic drift,...
arXiv:2602.13372v1 Announce Type: new Abstract: Evaluating moral alignment in agents navigating conflicting, hierarchically structured human norms is a critical challenge at the intersection of AI...
arXiv:2602.13376v1 Announce Type: new Abstract: Vision-Language Models (VLMs) are increasingly used in document processing pipelines to convert flowchart images into structured code (e.g., Mermaid). In...
arXiv:2602.13377v1 Announce Type: new Abstract: Code review is a critical practice in modern software engineering, helping developers detect defects early, improve code quality, and facilitate...
arXiv:2602.13378v1 Announce Type: new Abstract: Unmanned aerial vehicles serve as primary sensing platforms for surveillance, traffic monitoring, and disaster response, making aerial object detection a...
arXiv:2602.13379v1 Announce Type: new Abstract: LLM-based agents are becoming increasingly capable, yet their safety lags behind. This creates a gap between what agents can do...
arXiv:2602.13398v1 Announce Type: new Abstract: Designing cryoprotectant agent (CPA) cocktails for vitrification is challenging because formulations must be concentrated enough to suppress ice formation yet...
arXiv:2602.13400v1 Announce Type: new Abstract: Understanding the causes of software defects is essential for reliable software maintenance and ecosystem stability. However, existing bug datasets do...
arXiv:2602.13402v1 Announce Type: new Abstract: Composed Image Retrieval (CIR) allows users to search for images by combining a reference image with a text prompt that...
arXiv:2602.13405v1 Announce Type: new Abstract: Stochastic multi-agent systems are a central modeling framework for autonomous controllers, communication protocols, and cyber-physical infrastructures. In many such systems,...
arXiv:2602.13407v1 Announce Type: new Abstract: Large reasoning models (LRMs) are commonly trained with reinforcement learning (RL) to explore long chain-of-thought reasoning, achieving strong performance at...