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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
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When Right Meets Wrong: Bilateral Context Conditioning with Reward-Confidence Correction for GRPO
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ESG-Bench: Benchmarking Long-Context ESG Reports for Hallucination Mitigation
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DiT-IC: Aligned Diffusion Transformer for Efficient Image Compression
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Towards Faithful Multimodal Concept Bottleneck Models
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Reconciling In-Context and In-Weight Learning via Dual Representation Space Encoding
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Developing and evaluating a chatbot to support maternal health care
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Semantic Invariance in Agentic AI
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Purifying Generative LLMs from Backdoors without Prior Knowledge or Clean Reference
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Perceive What Matters: Relevance-Driven Scheduling for Multimodal Streaming Perception
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Clustering Astronomical Orbital Synthetic Data Using Advanced Feature Extraction and Dimensionality Reduction Techniques
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MXNorm: Reusing MXFP block scales for efficient tensor normalisation
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Diffusion-Based Feature Denoising and Using NNMF for Robust Brain Tumor Classification
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Towards Spatio-Temporal World Scene Graph Generation from Monocular Videos
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Learnability and Privacy Vulnerability are Entangled in a Few Critical Weights
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LLM Constitutional Multi-Agent Governance
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From Experiments to Expertise: Scientific Knowledge Consolidation for AI-Driven Computational Research
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Neuron-Aware Data Selection In Instruction Tuning For Large Language Models
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Theoretical Foundations of Latent Posterior Factors: Formal Guarantees for Multi-Evidence Reasoning
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Open World MRI Reconstruction with Bias-Calibrated Adaptation
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Leveraging Large Vision Model for Multi-UAV Co-perception in Low-Altitude Wireless Networks
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Out of Sight, Out of Mind? Evaluating State Evolution in Video World Models
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Visual-ERM: Reward Modeling for Visual Equivalence
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Resolving Interference (RI): Disentangling Models for Improved Model Merging
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PhysMoDPO: Physically-Plausible Humanoid Motion with Preference Optimization
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Equivalence of approximation by networks of single- and multi-spike neurons
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Deep Invertible Autoencoders for Dimensionality Reduction of Dynamical Systems
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Synthetic Melanoma Image Generation and Evaluation Using Generative Adversarial Networks
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ActionPlan: Future-Aware Streaming Motion Synthesis via Frame-Level Action Planning
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Standard Acquisition Is Sufficient for Asynchronous Bayesian Optimization
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LibraGen: Playing a Balance Game in Subject-Driven Video Generation
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MIRAGE: Model-agnostic Industrial Realistic Anomaly Generation and Evaluation for Visual Anomaly Detection
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Executable Archaeology: Reanimating the Logic Theorist from its IPL-V Source
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VoXtream2: Full-stream TTS with dynamic speaking rate control
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A Systematic Benchmark of GAN Architectures for MRI-to-CT Synthesis
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Eleven Primitives and Three Gates: The Universal Structure of Computational Imaging
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Hide and Seek: Investigating Redundancy in Earth Observation Imagery
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SAIF: A Stability-Aware Inference Framework for Medical Image Segmentation with Segment Anything Model
