7 citations · 12 across the 3 of their papers we have counts for
3 papers
cs.CL2022★ 3 cited
Zero-Label Prompt Selection
Chonghua Liao, Yanan Zheng, Zhilin Yang
Natural language prompts have been shown to facilitate cross-task generalization for large language models. However, with no or limited labeled examples, the cross-task performance…
cs.LG2021★ 2 cited
Locally Differentially Private Reinforcement Learning for Linear Mixture Markov Decision Processes
Chonghua Liao, Jiafan He, Quanquan Gu
Reinforcement learning (RL) algorithms can be used to provide personalized services, which rely on users' private and sensitive data. To protect the users' privacy, privacy-preserv…
cs.CL2021★ 7 cited
FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding
Yanan Zheng, Jing Zhou, Yujie Qian +7
The few-shot natural language understanding (NLU) task has attracted much recent attention. However, prior methods have been evaluated under a disparate set of protocols, which hin…