Thuy-Trang Vu

Orcid: 0009-0005-6296-4184

According to our database¹, Thuy-Trang Vu authored at least 20 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

PromptDSI: Prompt-based Rehearsal-free Instance-wise Incremental Learning for Document Retrieval.

[BibT_eX]

[DOI]

CoRR, 2024

SCAR: Efficient Instruction-Tuning for Large Language Models via Style Consistency-Aware Response Ranking.

[BibT_eX]

[DOI]

CoRR, 2024

Exploring the Potential of Multimodal LLM with Knowledge-Intensive Multimodal ASR.

[BibT_eX]

[DOI]

CoRR, 2024

Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Direct Evaluation of Chain-of-Thought in Multi-hop Reasoning with Knowledge Graphs.

[BibT_eX]

[DOI]

CoRR, 2024

Conversational SimulMT: Efficient Simultaneous Translation with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Continual Learning for Large Language Models: A Survey.

[BibT_eX]

[DOI]

CoRR, 2024

Adapting Large Language Models for Document-Level Machine Translation.

[BibT_eX]

[DOI]

CoRR, 2024

Direct Evaluation of Chain-of-Thought in Multi-hop Reasoning with Knowledge Graphs.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Simultaneous Machine Translation with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Active Continual Learning: Labelling Queries in a Sequence of Tasks.

[BibT_eX]

[DOI]

CoRR, 2023

Koala: An Index for Quantifying Overlaps with Pre-training Corpora.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Systematic Assessment of Factual Knowledge in Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Learning to Adapt Neural Models with Limited Human Supervision in Natural Language Processing.

[BibT_eX]

[DOI]

Thuy-Trang Vu

PhD thesis, 2022

Can Domains Be Transferred across Languages in Multi-Domain Multilingual Neural Machine Translation?

[BibT_eX]

[DOI]

Proceedings of the Seventh Conference on Machine Translation, 2022

Domain Generalisation of NMT: Fusing Adapters with Leave-One-Domain-Out Training.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data Selection.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Effective Unsupervised Domain Adaptation with Adversarially Trained Language Models.

[BibT_eX]

[DOI]

Thuy-Trang Vu

Dinh Phung

Gholamreza Haffari

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Learning How to Active Learn by Dreaming.

[BibT_eX]

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Automatic Post-Editing of Machine Translation: A Neural Programmer-Interpreter Approach.

[BibT_eX]

[DOI]

Thuy-Trang Vu

Gholamreza Haffari

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Thuy-Trang Vu

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