Our VB-LoRA achieves higher scores with significantly smaller number ofstoredparameters.

Neural Architecture Search (NAS) can automatically design promising neural architectures without artificial experience. Though itachievesgreat success, prohibitively high search cost is required to find a high-performance architecture, whichblocksitspractical implementation.

Large language models (LLMs) have shown impressive performance on downstream tasks by in-contextlearning (ICL), which heavily relies on the quality of demonstrations selected from a large set of annotated examples.

Spectral embedding is a powerful graph embedding technique that has received a lot of attention recently due to its effectiveness on Graph Transformers.