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Helix: Evolutionary Reinforcement Learning for Open-Ended Scientific Problem Solving
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Evaluating Synthetic Data for Baggage Trolley Detection in Airport Logistics
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AtomicVLA: Unlocking the Potential of Atomic Skill Learning in Robots
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GLASS: Graph and Vision-Language Assisted Semantic Shape Correspondence
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Compressed Proximal Federated Learning for Non-Convex Composite Optimization on Heterogeneous Data
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Partial Differential Equations in the Age of Machine Learning: A Critical Synthesis of Classical, Machine Learning, and Hybrid Methods
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Scaling Test-Time Robustness of Vision-Language Models via Self-Critical Inference Framework
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Ref-DGS: Reflective Dual Gaussian Splatting
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AI-Driven Phase Identification from X-ray Hyperspectral Imaging of cycled Na-ion Cathode Materials
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FusionRegister: Every Infrared and Visible Image Fusion Deserves Registration
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Memory for Autonomous LLM Agents:Mechanisms, Evaluation, and Emerging Frontiers
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Beyond Surrogates: A Quantitative Analysis for Inter-Metric Relationships
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A Primer on Evolutionary Frameworks for Near-Field Multi-Source Localization
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Mitigating the Memory Bottleneck with Machine Learning-Driven and Data-Aware Microarchitectural Techniques
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UniUncer: Unified Dynamic Static Uncertainty for End to End Driving
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FrameVGGT: Frame Evidence Rolling Memory for streaming VGGT
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RoboPCA: Pose-centered Affordance Learning from Human Demonstrations for Robot Manipulation
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Compressed-Domain-Aware Online Video Super-Resolution
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Learning Context-Adaptive Motion Priors for Masked Motion Diffusion Models with Efficient Kinematic Attention Aggregation
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Global Convergence of Average Reward Constrained MDPs with Neural Critic and General Policy Parameterization
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EDMFormer: Genre-Specific Self-Supervised Learning for Music Structure Segmentation
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TDM-R1: Reinforcing Few-Step Diffusion Models with Non-Differentiable Reward
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Step-Size Decay and Structural Stagnation in Greedy Sparse Learning
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PARSE: Part-Aware Relational Spatial Modeling
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Deep Incentive Design with Differentiable Equilibrium Blocks
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VoiceSHIELD-Small: Real-Time Malicious Speech Detection and Transcription
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YAQIN: Culturally Sensitive, Agentic AI for Mental Healthcare Support Among Muslim Women in the UK
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Reverse Distillation: Consistently Scaling Protein Language Model Representations
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Clear, Compelling Arguments: Rethinking the Foundations of Frontier AI Safety Cases
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Rigidity in LLM Bandits with Implications for Human-AI Dyads
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A Lightweight MPC Bidding Framework for Brand Auction Ads
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A Novel Multi-Agent Architecture to Reduce Hallucinations of Large Language Models in Multi-Step Structural Modeling
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Large Language Model for Discrete Optimization Problems: Evaluation and Step-by-step Reasoning
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Hide and Find: A Distributed Adversarial Attack on Federated Graph Learning
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3ViewSense: Spatial and Mental Perspective Reasoning from Orthographic Views in Vision-Language Models
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Uncertainty-Gated Generative Modeling
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Whitening Reveals Cluster Commitment as the Geometric Separator of Hallucination Types
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AR2-4FV: Anchored Referring and Re-identification for Long-Term Grounding in Fixed-View Videos
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DECADE: A Temporally-Consistent Unsupervised Diffusion Model for Enhanced Rb-82 Dynamic Cardiac PET Image Denoising
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Gated Adaptation for Continual Learning in Human Activity Recognition
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Using GPUs And LLMs Can Be Satisfying for Nonlinear Real Arithmetic Problems
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QuadAI at SemEval-2026 Task 3: Ensemble Learning of Hybrid RoBERTa and LLMs for Dimensional Aspect-Based Sentiment Analysis
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MedQ-Deg: A Multidimensional Benchmark for Evaluating MLLMs Across Medical Image Quality Degradations
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Toward Epistemic Stability: Engineering Consistent Procedures for Industrial LLM Hallucination Reduction
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ArcLight: A Lightweight LLM Inference Architecture for Many-Core CPUs
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Geometric Knowledge-Assisted Federated Dual Knowledge Distillation Approach Towards Remote Sensing Satellite Imagery
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Parameterized Brushstroke Style Transfer
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Breaking Training Bottlenecks: Effective and Stable Reinforcement Learning for Coding Models
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Lindbladian Learning with Neural Differential Equations
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Scaling Data Difficulty: Improving Coding Models via Reinforcement Learning on Fresh and Challenging Problems
