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Structured Distillation for Personalized Agent Memory: 11x Token Reduction with Retrieval Preservation
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ARL-Tangram: Unleash the Resource Efficiency in Agentic Reinforcement Learning
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daVinci-Env: Open SWE Environment Synthesis at Scale
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SAW: Toward a Surgical Action World Model via Controllable and Scalable Video Generation
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PISmith: Reinforcement Learning-based Red Teaming for Prompt Injection Defenses
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SortScrews: A Dataset and Baseline for Real-time Screw Classification
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Purify Once, Edit Freely: Breaking Image Protections under Model Mismatch
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Multimodal OCR: Parse Anything from Documents
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ESPIRE: A Diagnostic Benchmark for Embodied Spatial Reasoning of Vision-Language Models
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Association-Aware GNN for Precoder Learning in Cell-Free Systems
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Interrogating Design Homogenization in Web Vibe Coding
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Federated Few-Shot Learning on Neuromorphic Hardware: An Empirical Study Across Physical Edge Nodes
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Interpretable Semantic Gradients in SSD: A PCA Sweep Approach and a Case Study on AI Discourse
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OpenACMv2: An Accuracy-Constrained Co-Optimization Framework for Approximate DCiM
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Mending the Holes: Mitigating Reward Hacking in Reinforcement Learning for Multilingual Translation
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Are General-Purpose Vision Models All We Need for 2D Medical Image Segmentation? A Cross-Dataset Empirical Study
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Convergence Rate of a Functional Learning Method for Contextual Stochastic Optimization
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3DTCR: A Physics-Based Generative Framework for Vortex-Following 3D Reconstruction to Improve Tropical Cyclone Intensity Forecasting
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Causal Cellular Context Transfer Learning (C3TL): An Efficient Architecture for Prediction of Unseen Perturbation Effects
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Topo-R1: Detecting Topological Anomalies via Vision-Language Models
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Team RAS in 10th ABAW Competition: Multimodal Valence and Arousal Estimation Approach
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Reference-Free Image Quality Assessment for Virtual Try-On via Human Feedback
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Competition-Aware CPC Forecasting with Near-Market Coverage
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LADR: Locality-Aware Dynamic Rescue for Efficient Text-to-Image Generation with Diffusion Large Language Models
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L2GTX: From Local to Global Time Series Explanations
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GeoChemAD: Benchmarking Unsupervised Geochemical Anomaly Detection for Mineral Exploration
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Fractals made Practical: Denoising Diffusion as Partitioned Iterated Function Systems
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Mitigating Memorization in Text-to-Image Diffusion via Region-Aware Prompt Augmentation and Multimodal Copy Detection
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Rooftop Wind Field Reconstruction Using Sparse Sensors: From Deterministic to Generative Learning Methods
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InterEdit: Navigating Text-Guided Multi-Human 3D Motion Editing
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Human-in-the-Loop LLM Grading for Handwritten Mathematics Assessments
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Influence Malleability in Linearized Attention: Dual Implications of Non-Convergent NTK Dynamics
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DRCY: Agentic Hardware Design Reviews
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V-Bridge: Bridging Video Generative Priors to Versatile Few-shot Image Restoration
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Reasoning over Video: Evaluating How MLLMs Extract, Integrate, and Reconstruct Spatiotemporal Evidence
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Breaking the Tuning Barrier: Zero-Hyperparameters Yield Multi-Corner Analysis Via Learned Priors
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MESD: Detecting and Mitigating Procedural Bias in Intersectional Groups
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SldprtNet: A Large-Scale Multimodal Dataset for CAD Generation in Language-Driven 3D Design
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Beyond Final Answers: CRYSTAL Benchmark for Transparent Multimodal Reasoning Evaluation
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Evaluating VLMs' Spatial Reasoning Over Robot Motion: A Step Towards Robot Planning with Motion Preferences
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BenDFM: A taxonomy and synthetic CAD dataset for manufacturability assessment in sheet metal bending
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Panoramic Multimodal Semantic Occupancy Prediction for Quadruped Robots
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BoSS: A Best-of-Strategies Selector as an Oracle for Deep Active Learning
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ZO-SAM: Zero-Order Sharpness-Aware Minimization for Efficient Sparse Training
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NOIR: Neural Operator mapping for Implicit Representations
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Geometry-Guided Camera Motion Understanding in VideoLLMs
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FDeID-Toolbox: Face De-Identification Toolbox
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Scalable Machines with Intrinsic Higher Mental-State Dynamics
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Developing the PsyCogMetrics AI Lab to Evaluate Large Language Models and Advance Cognitive Science -- A Three-Cycle Action Design Science Study
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Steve-Evolving: Open-World Embodied Self-Evolution via Fine-Grained Diagnosis and Dual-Track Knowledge Distillation
