experimental benchmarks
Standardized tests or datasets used to evaluate and compare the performance of AI algorithms, facilitating fair assessment of different approaches and fostering advancements in the field by establishing common ground for discussion.
- CORE: Collaborative Optimization with Reinforcement Learning and Evolutionary Algorithm for Floorplanning
- DP-LLM: Runtime Model Adaptation with Dynamic Layer-wise Precision Assignment
- Improving LLM General Preference Alignment via Optimistic Online Mirror Descent
- Majority of the Bests: Improving Best-of-N via Bootstrapping