most citedSafe Delta: Consistently Preserving Safety when Fine-Tuning LLMs on Diverse Datasets

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2025★ 1 cited

Safe Delta: Consistently Preserving Safety when Fine-Tuning LLMs on Diverse Datasets

Ning Lu, Shengcai Liu, Jiahao Wu +5

Large language models (LLMs) have shown great potential as general-purpose AI assistants across various domains. To fully leverage this potential in specific applications, many com…

cs.CV2023

Fisheye traffic data set of point center markers

Chung-I Huang, Wei-Yu Chen, Wei Jan Ko +4

This study presents an open data-market platform and a dataset containing 160,000 markers and 18,000 images. We hope that this dataset will bring more new data value and applicatio…