When Prompts Ignore Structure: Graph-Based Attribute Reasoning for Calibrated VLMs
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On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate S…
Multi-Agent AI Control: Distributed Attacks Hamper Per-Instance Monitors
HumAIN: Human-Aware Implicit Social Robot Navigation
Quantum simulation of real-world nonlinear dynamics via Koopman method
AirPASS: Over-the-Air Federated Learning via Pinching Antenna Systems
CARLA-GS: Decoupling Representation, Reasoning, and Physics Simulation for Autonomous Dri…
Hypergraph Neural Stochastic Diffusion: An SDE Framework for Uncertainty Estimation
HAJJv2-CrowdCount: Zero-Shot Benchmark for Dense Crowd Counting
Gimitest: A Comprehensive Tool for Testing Reinforcement Learning Policies
CarbonCLIP: Enhance Carbon Prediction from Satellite Imagery via Integrated Street-View S…
Bayesian Optimization of Genetic Algorithm Hyperparameters in a Multi-Fidelity Framework …
ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies
DiPhon: Diffusion on Graphons for Scalable Graph Generation
Vision Foundation Models in Radiology: A Scoping Review of Data, Methodology, Evaluation …
Validate the Dream Before You Trust Its Verdict: Admissibility for World-Model Simulators
Entropy Pacing Policy Optimization for Multi-Task Agentic Reinforcement Learning
Tree-of-Thoughts Reasoning for Text-to-Image In-Context Learning
GeoProp: Grounding Robot State in Vision for Generalist Manipulation
Navigating Hierarchy: Hyperbolic Learning on Brain Graphs for Disorder Diagnosis
Complexity-Budgeted, Interaction-Aware Interpretable Model for Tabular Data
Riemannian Geometry for Pre-trained Language Model Embeddings
T2T-VICL: Cross-Task Visual In-Context Learning via Implicit Text-Driven VLMs
Intrinsic Green's Learning: Supervised Learning on Manifolds via Inverse PDE
Multimodal Spatiotemporal-Frequency Fusion with Peak Enhancement for Cellular Traffic For…
AI Chatbot Suicide Risk Detection and Response: Human Validation Study of the Open-Source…
Physics-guided spatiotemporal neural models for fuel density prediction
Hybrid Least Squares/Gradient Descent Methods for MIONets
Self-Supervised Pretraining Improves Cross-Site and Cross-Scale Robustness of Point Cloud…
Imputation Meets Clustering: Exploiting Latent Subgroup Structure for Missing Data Recove…