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EyeWorld: A Generative World Model of Ocular State and Dynamics
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GRPO and Reflection Reward for Mathematical Reasoning in Large Language Models
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The Reasoning Bottleneck in Graph-RAG: Structured Prompting and Context Compression for Multi-Hop QA
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Schrödinger Bridge Over A Compact Connected Lie Group
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A Theory of Appropriateness That Accounts for Norms of Rationality
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A Multi-Agent Perception-Action Alliance for Efficient Long Video Reasoning
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NepTam: A Nepali-Tamang Parallel Corpus and Baseline Machine Translation Experiments
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Demand-Driven Context: A Methodology for Building Enterprise Knowledge Bases Through Agent Failure
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TMPDiff: Temporal Mixed-Precision for Diffusion Models
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A Benchmark for Multi-Party Negotiation Games from Real Negotiation Data
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Gated Graph Attention Networks for Predicting Duration of Large Scale Power Outages Induced by Natural Disasters
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Conditioning on a Volatility Proxy Compresses the Apparent Timescale of Collective Market Correlation
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MotionCFG: Boosting Motion Dynamics via Stochastic Concept Perturbation
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Self-Supervised Uncertainty Estimation For Super-Resolution of Satellite Images
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Enhancing Mental Health Classification with Layer-Attentive Residuals and Contrastive Feature Learning
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SGR-OCC: Evolving Monocular Priors for Embodied 3D Occupancy Prediction via Soft-Gating Lifting and Semantic-Adaptive Geometric Refinement
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Enhancing Eye Feature Estimation from Event Data Streams through Adaptive Inference State Space Modeling
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CMHL: Contrastive Multi-Head Learning for Emotionally Consistent Text Classification
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Bootstrapped Physically-Primed Neural Networks for Robust T2 Distribution Estimation in Low-SNR Pancreatic MRI
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Effective Feature Learning for 3D Medical Registration via Domain-Specialized DINO Pretraining
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Understanding the Emergence of Seemingly Useless Features in Next-Token Predictors
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Evaluating Four FPGA-accelerated Space Use Cases based on Neural Network Algorithms for On-board Inference
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Soft Mean Expected Calibration Error (SMECE): A Calibration Metric for Probabilistic Labels
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Not All Latent Spaces Are Flat: Hyperbolic Concept Control
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Maximin Robust Bayesian Experimental Design
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Concisely Explaining the Doubt: Minimum-Size Abductive Explanations for Linear Models with a Reject Option
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Integrating Explainable Machine Learning and Mixed-Integer Optimization for Personalized Sleep Quality Intervention
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ST-ResGAT: Explainable Spatio-Temporal Graph Neural Network for Road Condition Prediction and Priority-Driven Maintenance
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SVD Contextual Sparsity Predictors for Fast LLM Inference
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OasisSimp: An Open-source Asian-English Sentence Simplification Dataset
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Revisiting the Perception-Distortion Trade-off with Spatial-Semantic Guided Super-Resolution
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Improving Visual Reasoning with Iterative Evidence Refinement
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Low-Field Magnetic Resonance Image Quality Enhancement using Undersampled k-Space and Out-of-Distribution Generalisation
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Towards Agentic Honeynet Configuration
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Low-Field Magnetic Resonance Image Enhancement using Undersampled k-Space
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The Institutional Scaling Law: Non-Monotonic Fitness, Capability-Trust Divergence, and Symbiogenetic Scaling in Generative AI
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Implementation and discussion of the Pith Estimation on Rough Log End Images using Local Fourier Spectrum Analysis method
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Diffusion Reinforcement Learning via Centered Reward Distillation
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The GELATO Dataset for Legislative NER
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Is the reconstruction loss culprit? An attempt to outperform JEPA
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DualSwinFusionSeg: Multimodal Martian Landslide Segmentation via Dual Swin Transformer with Multi-Scale Fusion and UNet++
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Solving physics-constrained inverse problems with conditional flow matching
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Multifidelity Surrogate Modeling of Depressurized Loss of Forced Cooling in High-temperature Gas Reactors
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MMOU: A Massive Multi-Task Omni Understanding and Reasoning Benchmark for Long and Complex Real-World Videos
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An Alternative Trajectory for Generative AI
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CIPHER: Culvert Inspection through Pairwise Frame Selection and High-Efficiency Reconstruction
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Seeing Through the PRISM: Compound & Controllable Restoration of Scientific Images
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SK-Adapter: Skeleton-Based Structural Control for Native 3D Generation
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Garments2Look: A Multi-Reference Dataset for High-Fidelity Outfit-Level Virtual Try-On with Clothing and Accessories
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Align Forward, Adapt Backward: Closing the Discretization Gap in Logic Gate Networks
