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Wafer-Level Etch Spatial Profiling for Process Monitoring from Time-Series with Time-LLM
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PhysSkin: Real-Time and Generalizable Physics-Based Animation via Self-Supervised Neural Skinning
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The Geometric Price of Discrete Logic: Context-driven Manifold Dynamics of Number Representations
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Sparser, Faster, Lighter Transformer Language Models
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Residual Attention Physics-Informed Neural Networks for Robust Multiphysics Simulation of Steady-State Electrothermal Energy Systems
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FDIF: Formula-Driven supervised Learning with Implicit Functions for 3D Medical Image Segmentation
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Gaze-Regularized Vision-Language-Action Models for Robotic Manipulation
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Between Resolution Collapse and Variance Inflation: Weighted Conformal Anomaly Detection in Low-Data Regimes
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A Latency Coding Framework for Deep Spiking Neural Networks with Ultra-Low Latency
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A One-Inclusion Graph Approach to Multi-Group Learning
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Generative Inversion of Spectroscopic Data for Amorphous Structure Elucidation
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PoseDriver: A Unified Approach to Multi-Category Skeleton Detection for Autonomous Driving
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Decoding AI Authorship: Can LLMs Truly Mimic Human Style Across Literature and Politics?
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General Machine Learning: Theory for Learning Under Variable Regimes
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I Came, I Saw, I Explained: Benchmarking Multimodal LLMs on Figurative Meaning in Memes
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PERMA: Benchmarking Personalized Memory Agents via Event-Driven Preference and Realistic Task Environments
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GEM: Guided Expectation-Maximization for Behavior-Normalized Candidate Action Selection in Offline RL
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MemCollab: Cross-Agent Memory Collaboration via Contrastive Trajectory Distillation
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Online library learning in human visual puzzle solving
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Neural ODE and SDE Models for Adaptation and Planning in Model-Based Reinforcement Learning
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GO-Renderer: Generative Object Rendering with 3D-aware Controllable Video Diffusion Models
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A Learning Method with Gap-Aware Generation for Heterogeneous DAG Scheduling
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Is AI Catching Up to Human Expression? Exploring Emotion, Personality, Authorship, and Linguistic Style in English and Arabic with Six Large Language Models
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AI Lifecycle-Aware Feasibility Framework for Split-RIC Orchestration in NTN O-RAN
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Permutation-Symmetrized Diffusion for Unconditional Molecular Generation
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MetaKube: An Experience-Aware LLM Framework for Kubernetes Failure Diagnosis
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The Mass Agreement Score: A Point-centric Measure of Cluster Size Consistency
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SynForceNet: A Force-Driven Global-Local Latent Representation Framework for Lithium-Ion Battery Fault Diagnosis
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SafeSeek: Universal Attribution of Safety Circuits in Language Models
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Not All Tokens Are Created Equal: Query-Efficient Jailbreak Fuzzing for LLMs
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A Multimodal Framework for Human-Multi-Agent Interaction
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Multi-Modal Image Fusion via Intervention-Stable Feature Learning
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CCF: Complementary Collaborative Fusion for Domain Generalized Multi-Modal 3D Object Detection
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Emergence of Fragility in LLM-based Social Networks: the Case of Moltbook
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A Comparative Study of Machine Learning Models for Hourly Forecasting of Air Temperature and Relative Humidity
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WaveSFNet: A Wavelet-Based Codec and Spatial--Frequency Dual-Domain Gating Network for Spatiotemporal Prediction
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Knot-10:A Tightness-Stratified Benchmark for Real-World Knot Classification with Topological Difficulty Analysis
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LLM Olympiad: Why Model Evaluation Needs a Sealed Exam
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Mamba-driven MRI-to-CT Synthesis for MRI-only Radiotherapy Planning
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AI Generalisation Gap In Comorbid Sleep Disorder Staging
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Designing Agentic AI-Based Screening for Portfolio Investment
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Steering LLMs for Culturally Localized Generation
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Contextual Graph Matching with Correlated Gaussian Features
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Curriculum-Driven 3D CT Report Generation via Language-Free Visual Grafting and Zone-Constrained Compression
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ARGENT: Adaptive Hierarchical Image-Text Representations
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ZeroFold: Protein-RNA Binding Affinity Predictions from Pre-Structural Embeddings
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Unilateral Relationship Revision Power in Human-AI Companion Interaction
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Robustness Quantification for Discriminative Models: a New Robustness Metric and its Application to Dynamic Classifier Selection
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WISTERIA: Weak Implicit Signal-based Temporal Relation Extraction with Attention
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Leveraging LLMs and Social Media to Understand User Perception of Smartphone-Based Earthquake Early Warnings
