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Evaluating Differentially Private Synthetic Data Generation in High-Stakes Domains
Krithika Ramesh, Nupoor Gandhi, Pulkit Madaan +3
The difficulty of anonymizing text data hinders the development and deployment of NLP in high-stakes domains that involve private data, such as healthcare and social services. Poor…
cs.CL2024
Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification
Tao Meng, Ninareh Mehrabi, Palash Goyal +6
We propose a constraint learning schema for fine-tuning Large Language Models (LLMs) with attribute control. Given a training corpus and control criteria formulated as a sequence-l…