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Domain-Independent Dynamic Programming with Constraint Propagation
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Mixture of Style Experts for Diverse Image Stylization
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What if Pinocchio Were a Reinforcement Learning Agent: A Normative End-to-End Pipeline
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Efficient Brood Cell Detection in Layer Trap Nests for Bees and Wasps: Balancing Labeling Effort and Species Coverage
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HeBA: Heterogeneous Bottleneck Adapters for Robust Vision-Language Models
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Omanic: Towards Step-wise Evaluation of Multi-hop Reasoning in Large Language Models
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Machines acquire scientific taste from institutional traces
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Can Linguistically Related Languages Guide LLM Translation in Low-Resource Settings?
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Self-Aware Markov Models for Discrete Reasoning
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Spectral Property-Driven Data Augmentation for Hyperspectral Single-Source Domain Generalization
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When Openclaw Agents Learn from Each Other: Insights from Emergent AI Agent Communities for Human-AI Partnership in Education
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Kestrel: Grounding Self-Refinement for LVLM Hallucination Mitigation
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Fast-WAM: Do World Action Models Need Test-time Future Imagination?
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Target Concept Tuning Improves Extreme Weather Forecasting
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Kinema4D: Kinematic 4D World Modeling for Spatiotemporal Embodied Simulation
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$x^2$-Fusion: Cross-Modality and Cross-Dimension Flow Estimation in Event Edge Space
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CritiSense: Critical Digital Literacy and Resilience Against Misinformation
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When Should a Robot Think? Resource-Aware Reasoning via Reinforcement Learning for Embodied Robotic Decision-Making
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HMAR: Hierarchical Modality-Aware Expert and Dynamic Routing Medical Image Retrieval Architecture
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vAccSOL: Efficient and Transparent AI Vision Offloading for Mobile Robots
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Grid-World Representations in Transformers Reflect Predictive Geometry
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Cost Trade-offs in Matrix Inversion Updates for Streaming Outlier Detection
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DEAF: A Benchmark for Diagnostic Evaluation of Acoustic Faithfulness in Audio Language Models
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Learning Lineage-guided Geodesics with Finsler Geometry
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Search2Motion: Training-Free Object-Level Motion Control via Attention-Consensus Search
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High-dimensional estimation with missing data: Statistical and computational limits
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Novelty-Driven Target-Space Discovery in Automated Electron and Scanning Probe Microscopy
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Arabic Morphosyntactic Tagging and Dependency Parsing with Large Language Models
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Emotion-Aware Classroom Quality Assessment Leveraging IoT-Based Real-Time Student Monitoring
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Federated Learning with Multi-Partner OneFlorida+ Consortium Data for Predicting Major Postoperative Complications
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The Cost of Reasoning: Chain-of-Thought Induces Overconfidence in Vision-Language Models
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GeMA: Learning Latent Manifold Frontiers for Benchmarking Complex Systems
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Understanding Quantization of Optimizer States in LLM Pre-training: Dynamics of State Staleness and Effectiveness of State Resets
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IQuest-Coder-V1 Technical Report
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Differential Harm Propensity in Personalized LLM Agents: The Curious Case of Mental Health Disclosure
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World Reconstruction From Inconsistent Views
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Retrieving Counterfactuals Improves Visual In-Context Learning
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MedCL-Bench: Benchmarking stability-efficiency trade-offs and scaling in biomedical continual learning
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SpecMoE: Spectral Mixture-of-Experts Foundation Model for Cross-Species EEG Decoding
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Bayesian Inference of Psychometric Variables From Brain and Behavior in Implicit Association Tests
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When the City Teaches the Car: Label-Free 3D Perception from Infrastructure
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Nonstandard Errors in AI Agents
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Data-driven forced response analysis with min-max representations of nonlinear restoring forces
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Semi-supervised Latent Disentangled Diffusion Model for Textile Pattern Generation
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Probing Cultural Signals in Large Language Models through Author Profiling
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Formal verification of tree-based machine learning models for lateral spreading
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Finding Common Ground in a Sea of Alternatives
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A Practical Algorithm for Feature-Rich, Non-Stationary Bandit Problems
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pADAM: A Plug-and-Play All-in-One Diffusion Architecture for Multi-Physics Learning
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SuCor: Susceptibility Distortion Correction via Parameter-Free and Self-Regularized Optimal Transport
