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Open-World Motion Forecasting
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CERES: A Probabilistic Early Warning System for Acute Food Insecurity
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Amnesia: Adversarial Semantic Layer Specific Activation Steering in Large Language Models
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Impact of Markov Decision Process Design on Sim-to-Real Reinforcement Learning
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Common Sense vs. Morality: The Curious Case of Narrative Focus Bias in LLMs
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AI Act Evaluation Benchmark: An Open, Transparent, and Reproducible Evaluation Dataset for NLP and RAG Systems
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From Weighting to Modeling: A Nonparametric Estimator for Off-Policy Evaluation
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GIIM: Graph-based Learning of Inter- and Intra-view Dependencies for Multi-view Medical Image Diagnosis
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A Guideline-Aware AI Agent for Zero-Shot Target Volume Auto-Delineation
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CyberThreat-Eval: Can Large Language Models Automate Real-World Threat Research?
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Variational Routing: A Scalable Bayesian Framework for Calibrated Mixture-of-Experts Transformers
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Declarative Scenario-based Testing with RoadLogic
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An Empirical Study and Theoretical Explanation on Task-Level Model-Merging Collapse
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EvoDriveVLA: Evolving Autonomous Driving Vision-Language-Action Model via Collaborative Perception-Planning Distillation
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TopoOR: A Unified Topological Scene Representation for the Operating Room
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The Patrologia Graeca Corpus: OCR, Annotation, and Open Release of Noisy Nineteenth-Century Polytonic Greek Editions
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OmniEarth: A Benchmark for Evaluating Vision-Language Models in Geospatial Tasks
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Telogenesis: Goal Is All U Need
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Prune Redundancy, Preserve Essence: Vision Token Compression in VLMs via Synergistic Importance-Diversity
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GenePlan: Evolving Better Generalized PDDL Plans using Large Language Models
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Component-Aware Sketch-to-Image Generation Using Self-Attention Encoding and Coordinate-Preserving Fusion
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Vibe-Creation: The Epistemology of Human-AI Emergent Cognition
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Temporal-Conditioned Normalizing Flows for Multivariate Time Series Anomaly Detection
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Evolving Prompt Adaptation for Vision-Language Models
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SurgFed: Language-guided Multi-Task Federated Learning for Surgical Video Understanding
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Modelling the Diachronic Emergence of Phoneme Frequency Distributions
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Context-Nav: Context-Driven Exploration and Viewpoint-Aware 3D Spatial Reasoning for Instance Navigation
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TrainDeeploy: Hardware-Accelerated Parameter-Efficient Fine-Tuning of Small Transformer Models at the Extreme Edge
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Probing the Reliability of Driving VLMs: From Inconsistent Responses to Grounded Temporal Reasoning
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Mitigating Frequency Learning Bias in Quantum Models via Multi-Stage Residual Learning
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You Didn't Have to Say It like That: Subliminal Learning from Faithful Paraphrases
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Efficiently Aligning Draft Models via Parameter- and Data-Efficient Adaptation
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RESBev: Making BEV Perception More Robust
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DCAU-Net: Differential Cross Attention and Channel-Spatial Feature Fusion for Medical Image Segmentation
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Association of Radiologic PPFE Change with Mortality in Lung Cancer Screening Cohorts
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What Do We Care About in Bandits with Noncompliance? BRACE: Bandits with Recommendations, Abstention, and Certified Effects
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Enhancing Debunking Effectiveness through LLM-based Personality Adaptation
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Towards Unified Multimodal Interleaved Generation via Group Relative Policy Optimization
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Memory-Guided View Refinement for Dynamic Human-in-the-loop EQA
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A comprehensive study of time-of-flight non-line-of-sight imaging
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GeoSolver: Scaling Test-Time Reasoning in Remote Sensing with Fine-Grained Process Supervision
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Compiler-First State Space Duality and Portable $O(1)$ Autoregressive Caching for Inference
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ALARM: Audio-Language Alignment for Reasoning Models
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Learning Bayesian and Markov Networks with an Unreliable Oracle
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a-TMFG: Scalable Triangulated Maximally Filtered Graphs via Approximate Nearest Neighbors
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GeoAlignCLIP: Enhancing Fine-Grained Vision-Language Alignment in Remote Sensing via Multi-Granular Consistency Learning
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An Optimal Control Approach To Transformer Training
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More than the Sum: Panorama-Language Models for Adverse Omni-Scenes
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SCDP: Learning Humanoid Locomotion from Partial Observations via Mixed-Observation Distillation
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Routing without Forgetting
