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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
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Active Sampling Sample-based Quantum Diagonalization from Finite-Shot Measurements
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AMES: Approximate Multi-modal Enterprise Search via Late Interaction Retrieval
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Exploring label correlations using decision templates for ensemble of classifier chains
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The AI Fiction Paradox
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Probabilistic Gaussian Homotopy: A Probability-Space Continuation Framework for Nonconvex Optimization
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NumColor: Precise Numeric Color Control in Text-to-Image Generation
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Ghosts of Softmax: Complex Singularities That Limit Safe Step Sizes in Cross-Entropy
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Semantic Aware Feature Extraction for Enhanced 3D Reconstruction
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Performance evaluation of deep learning models for image analysis: considerations for visual control and statistical metrics
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Holographic Invariant Storage: Design-Time Safety Contracts via Vector Symbolic Architectures
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Robust Automatic Differentiation of Square-Root Kalman Filters via Gramian Differentials
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Task-Oriented Wireless Transmission of 3D Point Clouds: Geometric Versus Semantic Robustness
