General-Science
Towards Stable and Structured Time Series Generation with Perturbation-Aware Flow Matching
Training-free Detection of AI-generated images via Cropping Robustness
Twice Sequential Monte Carlo for Tree Search
Uncertainty-Aware Measurement of Scenario Suite Representativeness for Autonomous Systems
Uncertainty-Resilient Multimodal Learning via Consistency-Guided Cross-Modal Transfer
Voiced-Aware Style Extraction and Style Direction Adjustment for Expressive Text-to-Speech
Watchdogs and Oracles: Runtime Verification Meets Large Language Models for Autonomous Systems
Weight Variance Amplifier Improves Accuracy in High-Sparsity One-Shot Pruning
When Words Change the Model: Sensitivity of LLMs for Constraint Programming Modelling
Zero-shot Synthetic Video Realism Enhancement via Structure-aware Denoising
Zero-Training Task-Specific Model Synthesis for Few-Shot Medical Image Classification
A Detailed Comparative Analysis of Blockchain Consensus Mechanisms
A Disentangled Low-Rank RNN Framework for Uncovering Neural Connectivity and Dynamics
A Lexical Analysis of online Reviews on Human-AI Interactions
A Novel Hierarchical Integration Method for Efficient Model Merging in Medical LLMs
A Trajectory-free Crash Detection Framework with Generative Approach and Segment Map Diffusion
AA-Omniscience: Evaluating Cross-Domain Knowledge Reliability in Large Language Models
AI Fairness Beyond Complete Demographics: Current Achievements and Future Directions
Alpha Divergence Losses for Biometric Verification
An approach of deep reinforcement learning for maximizing the net present value of stochastic projects
An Operational Kardashev-Style Scale for Autonomous AI - Towards AGI and Superintelligence
Are Graph Transformers Necessary? Efficient Long-Range Message Passing with Fractal Nodes in MPNNs