scalable solution
A scalable solution in AI refers to a system or algorithm that can maintain its performance and efficiency as the size of the input data or complexity of the problem increases, ensuring that it can handle larger datasets or more complex tasks without a prohibitive increase in computational requirements.
- Aligning Text-to-Image Diffusion Models to Human Preference by Classification
- HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell data
- KVLink: Accelerating Large Language Models via Efficient KV Cache Reuse
- Reconciling Geospatial Prediction and Retrieval via Sparse Representations
- RepGuard: Adaptive Feature Decoupling for Robust Backdoor Defense in Large Language Models
- SignFlow Bipartite Subgraph Network For Large-Scale Graph Link Sign Prediction
- VR-Drive: Viewpoint-Robust End-to-End Driving with Feed-Forward 3D Gaussian Splatting