real-world applicability
The relevance and effectiveness of AI models in practical scenarios, emphasizing their ability to solve genuine problems and deliver value outside of controlled environments.
- An Evidence-Based Post-Hoc Adjustment Framework for Anomaly Detection Under Data Contamination
- High-Performance Arithmetic Circuit Optimization via Differentiable Architecture Search
- SMARTraj$^2$: A Stable Multi-City Adaptive Method for Multi-View Spatio-Temporal Trajectory Representation Learning
- Solving Continuous Mean Field Games: Deep Reinforcement Learning for Non-Stationary Dynamics
- The Curse of Multi-Modalities: Evaluating Hallucinations of Large Multimodal Models across Language, Visual, and Audio