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cs.LG2024★ 3 cited
Learning to Watermark LLM-generated Text via Reinforcement Learning
Xiaojun Xu, Yuanshun Yao, Yang Liu
We study how to watermark LLM outputs, i.e. embedding algorithmically detectable signals into LLM-generated text to track misuse. Unlike the current mainstream methods that work wi…
cs.LG2024
Fairness Without Harm: An Influence-Guided Active Sampling Approach
Jinlong Pang, Jialu Wang, Zhaowei Zhu +3
The pursuit of fairness in machine learning (ML), ensuring that the models do not exhibit biases toward protected demographic groups, typically results in a compromise scenario. Th…