Papers by Doan Nam Long Vu
DP-NMT: Scalable Differentially Private Machine Translation (2024.eacl-demo)
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| Challenge: | Neural machine translation (NMT) is a popular text generation task, yet there is nagging data privacy concerns. |
| Approach: | They propose an open-source framework for a privacy-preserving NMT with DP-SGD. |
| Outcome: | The proposed framework is open-source and open to the public . it combines models, datasets, and evaluation metrics to demonstrate its effectiveness. |
Layer or Representation Space: What Makes BERT-based Evaluation Metrics Robust? (2022.coling-1)
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| Challenge: | Recent embedding-based evaluation metrics for text generation are based on measuring correlation with human evaluations on standard benchmarks. |
| Approach: | They examine the robustness of BERTScore, one of the most popular embedding-based metrics for text generation. |
| Outcome: | The embedding-based metrics that have the highest correlation with human evaluations on a standard benchmark can have the lowest correlation if the amount of input noise or unknown tokens increases. |