MotionPyramid: Hierarchical Motion Representation and Residual Interfaces
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Distributed Quantum Learning over Near-term Devices: Convergence Analysis and Security De…
CourseBlueprint: A Structured Pipeline for Adaptive Pedagogical Video Generation Grounded…
Understanding Privacy by Formalizing It
Signals in the Noise: Open Source Intelligence (OSINT) for AI Loss of Control Detection
Efficient Safety Benchmarking via Item Response Theory
Design Principles for Human-Agent Interaction
Measuring the Occupation-Level Impact of AbbVie Intelligence: AI Applicability Analysis, …
Platooning Connected, Autonomous, and Human-Driven Vehicles: A Deep Reinforcement Learnin…
Distributed Model Predictive Control with Adaptive Safety Zones for Multi-Fleet Drone Ope…
Robust Auto-associative Memory via Convolutional Restricted Hopfield Networks
Genetic Algorithm Based Coordination and Optimization Model for Generation Grid Load Stor…
A Formal Tool for Verification of Probabilistic Spiking Neural Networks Based on Quotient…
Jury Duty: Calibration and Orientation Failures in MLLM-as-a-Judge Under Cultural Ambigui…
JPPD: Joint Prediction_Planning Diffusion with Differentiable Safety Guidance for Dynamic…
Structural Distinguishability of Static and Adaptive Policy Regimes in Agent-Based Regula…
Machine-Coached Policy Revision in Adaptive Agent-Based Regulatory Simulation: A Controll…
Beyond Templates: Revisiting Zero-Shot Remote Sensing through Meta-Prompting
GEOPHYS: The Geometry of Physical Plausibility
Video2Code: Generating Interactive Webpages from UI Videos via Action-Aware Revisit
Revelio: Cost-Efficient Agentic Memory Safety Vulnerability Detection For Repository-Scal…
Evaluating Large Language Models for Hausa and Fongbe Machine Translation: Benchmarks, Fa…
Don't Blindly Trust It: How Unreliable Feedback Breaks Tool-Using LLM Agents
AutoRAS: Learning Robust Agentic Systems with Primitive Representations
Orthogonal Representation Editing: Decoupling Semantic Entanglement in Batch Knowledge Ed…
Federated Learning for Global Carbon Emission Forecasting: A Hybrid Time-Series Approach …
On the Position Bias of On-Policy Distillation
Balancing Performance and Diversity in GRPO Autoregressive Text-to-Image Post-Training
ARCO: Adaptive Rubric with Co-Evolution for Multi-Step LLM-Based Agents
The Power of Light: Improving Synthetic-to-Real Domain Adaptation through Physically-Base…