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arXiv:2511.18203v4 Announce Type: replace Abstract: Generalizing from individual skill executions to solving long-horizon tasks remains a core challenge in building autonomous agents. A promising direction...
arXiv:2511.19208v2 Announce Type: replace Abstract: A Locally Checkable Labeling (LCL) is a specification describing a set of labels that are valid with respect to a...
arXiv:2511.20376v3 Announce Type: replace Abstract: We study efficient algorithms for recovering cliques in dense random intersection graphs (RIGs). In this model, $d = n^{\Omega(1)}$ cliques...
arXiv:2511.22693v2 Announce Type: replace Abstract: We present Generative Anchored Fields (GAF), a generative model that learns independent endpoint predictors, $J$ (noise) and $K$ (data), from...
arXiv:2512.00499v2 Announce Type: replace Abstract: Reinforcement learning (RL) has become a central component of post-training for large language models (LLMs), particularly for complex reasoning tasks...
arXiv:2512.03474v2 Announce Type: replace Abstract: Mistake detection in procedural tasks is essential for building intelligent systems that support learning and task execution. Existing approaches primarily...
arXiv:2512.04411v2 Announce Type: replace Abstract: Modeling contact mechanics with high contrast coefficients presents significant mathematical and computational challenges, especially in achieving strongly symmetric stress approximations...
arXiv:2512.04552v3 Announce Type: replace Abstract: Differentiable reinforcement learning (RL) frameworks like DiffRO offer a powerful approach for controllable text-to-speech (TTS), but are vulnerable to reward...
arXiv:2512.05039v2 Announce Type: replace Abstract: Facial Image inpainting aim is to restore the missing or corrupted regions in face images while preserving identity, structural consistency...
arXiv:2512.05430v2 Announce Type: replace Abstract: Recent advances in large language models (LLMs) have transformed open-domain question answering, yet their effectiveness in music-related reasoning remains limited...
arXiv:2512.05549v2 Announce Type: replace Abstract: This paper investigates the problem of safety certification for black-box discrete-time stochastic systems, where both the system dynamics and disturbance...
arXiv:2512.06330v2 Announce Type: replace Abstract: Pansharpening fuses a high-resolution PAN image with a low-resolution multispectral (LRMS) image to produce an HRMS image. A key difficulty...
arXiv:2512.06784v2 Announce Type: replace Abstract: The sparse activation mechanism of mixture of experts (MoE) model empowers edge intelligence with enhanced training efficiency and reduced computational...
arXiv:2512.08161v2 Announce Type: replace Abstract: Image dehazing is crucial for reliable visual perception, yet it remains highly challenging under real-world non-uniform haze conditions. Although Transformer-based...
arXiv:2512.09185v3 Announce Type: replace Abstract: Understanding disease progression is a central clinical challenge with direct implications for early diagnosis and personalized treatment. While recent generative...
arXiv:2512.09407v2 Announce Type: replace Abstract: In this paper, we propose a novel 3D registration paradigm, Generative Point Cloud Registration, which bridges advanced 2D generative models...
arXiv:2512.10094v3 Announce Type: replace Abstract: High-frequency trading, in both traditional and decentralized markets, induces latency races and redundant order flow as traders spend resources to...
arXiv:2512.10858v3 Announce Type: replace Abstract: Modern LLM pre-training consumes vast amounts of compute and training data, making the scaling behavior, or scaling laws, of different...
arXiv:2512.11173v2 Announce Type: replace Abstract: Achieving precise positioning of the mobile manipulator's base is essential for successful manipulation actions that follow. Most of the RGB-based...
arXiv:2512.12206v2 Announce Type: replace Abstract: Distracted driving contributes to fatal crashes worldwide. To address this, researchers are using driver activity recognition (DAR) with impulse radio...
arXiv:2512.12832v2 Announce Type: replace Abstract: Steep-profiled Highway Railway Grade Crossings (HRGCs) pose safety hazards to vehicles with low ground clearance, which may become stranded on...
arXiv:2512.13228v2 Announce Type: replace Abstract: Semi-supervised classification leverages both labeled and unlabeled data to improve predictive performance, but existing software support remains fragmented across methods,...
arXiv:2512.13697v2 Announce Type: replace Abstract: The proliferation of Large Language Models (LLMs) raises a critical question about what it means to be human when we...
arXiv:2512.14166v2 Announce Type: replace Abstract: The evolution of Large Language Models (LLMs) into Agentic AI has established the Model Context Protocol (MCP) as the standard...