Cs-Ai
A-UTE: Advection Informed, Uncertainty Aware Temperature Emulator
Deconfounded Time Series Forecasting: A Causal Inference Approach
Angel or Devil: Discriminating Hard Samples and Anomaly Contaminations for Unsupervised Time Series Anomaly Detection
Intrinsic Stability Limits of Autoregressive Reasoning: Structural Consequences for Long-Horizon Execution
TFusionOcc: Student's t-Distribution Based Object-Centric Multi-Sensor Fusion Framework for 3D Occupancy Prediction
Revisiting Salient Object Detection from an Observer-Centric Perspective
Improve Large Language Model Systems with User Logs
CORE: Comprehensive Ontological Relation Evaluation for Large Language Models
Generating High-quality Privacy-preserving Synthetic Data
Unlocking Noisy Real-World Corpora for Foundation Model Pre-Training via Quality-Aware Tokenization
Difficulty-Estimated Policy Optimization
Revisiting the Shape Convention of Transformer Language Models
TrajAD: Trajectory Anomaly Detection for Trustworthy LLM Agents
Principle-Evolvable Scientific Discovery via Uncertainty Minimization
Empirical Analysis of Adversarial Robustness and Explainability Drift in Cybersecurity Classifiers
Error Bounds for Physics-Informed Neural Networks in Fokker-Planck PDEs
RealCQA-V2: A Diagnostic Benchmark for Structured Visual Entailment over Scientific Charts
Target noise: A pre-training based neural network initialization for efficient high resolution learning
ProtoQuant: Quantization of Prototypical Parts For General and Fine-Grained Image Classification
Transformer-based Parameter Fitting of Models derived from Bloch-McConnell Equations for CEST MRI Analysis
AgentCPM-Report: Interleaving Drafting and Deepening for Open-Ended Deep Research
Dynamics-Aligned Shared Hypernetworks for Zero-Shot Actuator Inversion
