baselines
Baselines are benchmark models or methods against which new algorithms or techniques are compared in research. Establishing baselines is essential for evaluating performance improvements in AI methodologies.
- A Provable Approach for End-to-End Safe Reinforcement Learning
- Frame In-N-Out: Unbounded Controllable Image-to-Video Generation
- Knowledge Distillation Detection for Open-weights Models
- Reliable Decision‑Making via Calibration‑Oriented Retrieval‑Augmented Generation
- Towards A Generalist Code Embedding Model Based On Massive Data Synthesis
- Understanding and Enhancing Message Passing on Heterophilic Graphs via Compatibility Matrix