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Chenxi Gu

2 accepted papers

2023

Watermarking PLMs on Classification Tasks by Combining Contrastive Learning with Weight Perturbation

EMNLP 2023long findings

Large pre-trained language models (PLMs) have achieved remarkable success, making them highly valuable intellectual property due to their expensive training costs. Consequently, model watermarking, a method developed to protect the intellectual property of neural models, has emerged as a crucial yet…

Cited by 0SourceScholar
2022

Leveraging Similar Users for Personalized Language Modeling with Limited Data

ACL 2022long

Personalized language models are designed and trained to capture language patterns specific to individual users. This makes them more accurate at predicting what a user will write. However, when a new user joins a platform and not enough text is available, it is harder to build effective personalize…

Cited by 35SourcePDFScholar