11 citations · 44 across the 18 of their papers we have counts for
4 papers · 1 filter
Mitigating Unintended Memorization in Language Models via Alternating Teaching
Zhe Liu, Xuedong Zhang, Fuchun Peng
Recent research has shown that language models have a tendency to memorize rare or unique sequences in the training corpora which can thus leak sensitive attributes of user data. W…
Group Personalized Federated Learning
Zhe Liu, Yue Hui, Fuchun Peng
Federated learning (FL) can help promote data privacy by training a shared model in a de-centralized manner on the physical devices of clients. In the presence of highly heterogene…
Modeling Dependent Structure for Utterances in ASR Evaluation
Zhe Liu, Fuchun Peng
The bootstrap resampling method has been popular for performing significance analysis on word error rate (WER) in automatic speech recognition (ASR) evaluation. To deal with depend…
Neural-FST Class Language Model for End-to-End Speech Recognition
Antoine Bruguier, Duc Le, Rohit Prabhavalkar +7
We propose Neural-FST Class Language Model (NFCLM) for end-to-end speech recognition, a novel method that combines neural network language models (NNLMs) and finite state transduce…