4 papers
AdaProb: Efficient Machine Unlearning via Adaptive Probability
Zihao Zhao, Yuchen Yang, Anjalie Field +1
Machine unlearning, enabling a trained model to forget specific data, is crucial for addressing erroneous data and adhering to privacy regulations like the General Data Protection…
SynthTextEval: Synthetic Text Data Generation and Evaluation for High-Stakes Domains
Krithika Ramesh, Daniel Smolyak, Zihao Zhao +4
We present SynthTextEval, a toolkit for conducting comprehensive evaluations of synthetic text. The fluency of large language model (LLM) outputs has made synthetic text potentiall…
Controlled Generation for Private Synthetic Text
Zihao Zhao, Anjalie Field
Text anonymization is essential for responsibly developing and deploying AI in high-stakes domains such as healthcare, social services, and law. In this work, we propose a novel me…
RIPPLECOT: Amplifying Ripple Effect of Knowledge Editing in Language Models via Chain-of-Thought In-Context Learning
Zihao Zhao, Yuchen Yang, Yijiang Li +1
The ripple effect poses a significant challenge in knowledge editing for large language models. Namely, when a single fact is edited, the model struggles to accurately update the r…