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2020 – today
- 2024
[c11]Thi Nguyen, Linhao Luo, Fatemeh Shiri, Dinh Phung, Yuan-Fang Li, Thuy-Trang Vu, Gholamreza Haffari:
Direct Evaluation of Chain-of-Thought in Multi-hop Reasoning with Knowledge Graphs. ACL (Findings) 2024: 2862-2883- [c10]Minghan Wang, Yuxia Wang, Thuy-Trang Vu, Ehsan Shareghi, Reza Haf:
Exploring the Potential of Multimodal LLM with Knowledge-Intensive Multimodal ASR. EMNLP (Findings) 2024: 13274-13288 - [c9]Minghao Wu, Thuy-Trang Vu, Lizhen Qu, Reza Haf:
Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models. EMNLP 2024: 14226-14240 - [i16]Minghao Wu, Thuy-Trang Vu
, Lizhen Qu, George F. Foster, Gholamreza Haffari:
Adapting Large Language Models for Document-Level Machine Translation. CoRR abs/2401.06468 (2024) - [i15]Tongtong Wu, Linhao Luo, Yuan-Fang Li, Shirui Pan, Thuy-Trang Vu, Gholamreza Haffari:
Continual Learning for Large Language Models: A Survey. CoRR abs/2402.01364 (2024) - [i14]Minghan Wang, Thuy-Trang Vu, Ehsan Shareghi, Gholamreza Haffari:
Conversational SimulMT: Efficient Simultaneous Translation with Large Language Models. CoRR abs/2402.10552 (2024) - [i13]Minh-Vuong Nguyen, Linhao Luo, Fatemeh Shiri, Dinh Phung, Yuan-Fang Li, Thuy-Trang Vu, Gholamreza Haffari:
Direct Evaluation of Chain-of-Thought in Multi-hop Reasoning with Knowledge Graphs. CoRR abs/2402.11199 (2024) - [i12]Minghao Wu, Thuy-Trang Vu, Lizhen Qu, Gholamreza Haffari:
Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models. CoRR abs/2406.08811 (2024) - [i11]Minghan Wang, Yuxia Wang, Thuy-Trang Vu, Ehsan Shareghi, Gholamreza Haffari:
Exploring the Potential of Multimodal LLM with Knowledge-Intensive Multimodal ASR. CoRR abs/2406.10880 (2024) - [i10]Zhuang Li, Yuncheng Hua, Thuy-Trang Vu, Haolan Zhan, Lizhen Qu, Gholamreza Haffari:
SCAR: Efficient Instruction-Tuning for Large Language Models via Style Consistency-Aware Response Ranking. CoRR abs/2406.10882 (2024) - [i9]Tuan-Luc Huynh, Thuy-Trang Vu, Weiqing Wang, Yinwei Wei, Trung Le, Dragan Gasevic, Yuan-Fang Li, Thanh-Toan Do:
PromptDSI: Prompt-based Rehearsal-free Instance-wise Incremental Learning for Document Retrieval. CoRR abs/2406.12593 (2024) - [i8]Minghao Wu, Thuy-Trang Vu, Lizhen Qu, Gholamreza Haffari:
The Best of Both Worlds: Bridging Quality and Diversity in Data Selection with Bipartite Graph. CoRR abs/2410.12458 (2024) - 2023
- [c8]Thuy-Trang Vu, Xuanli He, Gholamreza Haffari, Ehsan Shareghi:
Koala: An Index for Quantifying Overlaps with Pre-training Corpora. EMNLP (Demos) 2023: 90-98 - [c7]Linhao Luo, Thuy-Trang Vu, Dinh Q. Phung, Gholamreza Haffari:
Systematic Assessment of Factual Knowledge in Large Language Models. EMNLP (Findings) 2023: 13272-13286 - [i7]Thuy-Trang Vu, Xuanli He, Gholamreza Haffari, Ehsan Shareghi:
Koala: An Index for Quantifying Overlaps with Pre-training Corpora. CoRR abs/2303.14770 (2023) - [i6]Thuy-Trang Vu, Shahram Khadivi, Dinh Q. Phung, Gholamreza Haffari:
Active Continual Learning: Labelling Queries in a Sequence of Tasks. CoRR abs/2305.03923 (2023) - [i5]Minghan Wang, Jinming Zhao, Thuy-Trang Vu, Fatemeh Shiri, Ehsan Shareghi, Gholamreza Haffari:
Simultaneous Machine Translation with Large Language Models. CoRR abs/2309.06706 (2023) - [i4]Linhao Luo, Thuy-Trang Vu, Dinh Q. Phung, Gholamreza Haffari:
Systematic Assessment of Factual Knowledge in Large Language Models. CoRR abs/2310.11638 (2023) - 2022
- [b1]Thuy-Trang Vu:
Learning to Adapt Neural Models with Limited Human Supervision in Natural Language Processing. Monash University, Australia, 2022 - [c6]Thuy-Trang Vu, Shahram Khadivi, Dinh Q. Phung, Gholamreza Haffari:
Domain Generalisation of NMT: Fusing Adapters with Leave-One-Domain-Out Training. ACL (Findings) 2022: 582-588 - [c5]Thuy-Trang Vu, Shahram Khadivi, Xuanli He, Dinh Phung, Gholamreza Haffari:
Can Domains Be Transferred across Languages in Multi-Domain Multilingual Neural Machine Translation? WMT 2022: 381-396 - [i3]Thuy-Trang Vu, Shahram Khadivi, Xuanli He, Dinh Q. Phung, Gholamreza Haffari:
Can Domains Be Transferred Across Languages in Multi-Domain Multilingual Neural Machine Translation? CoRR abs/2210.11628 (2022) - 2021
- [c4]Thuy-Trang Vu, Xuanli He, Dinh Q. Phung, Gholamreza Haffari:
Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data Selection. EMNLP (1) 2021: 3335-3346 - [i2]Thuy-Trang Vu, Xuanli He, Dinh Q. Phung, Gholamreza Haffari:
Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data Selection. CoRR abs/2109.04292 (2021) - 2020
- [c3]Thuy-Trang Vu, Dinh Phung, Gholamreza Haffari:
Effective Unsupervised Domain Adaptation with Adversarially Trained Language Models. EMNLP (1) 2020: 6163-6173 - [i1]Thuy-Trang Vu, Dinh Phung, Gholamreza Haffari:
Effective Unsupervised Domain Adaptation with Adversarially Trained Language Models. CoRR abs/2010.01739 (2020)
2010 – 2019
- 2019
- [c2]Thuy-Trang Vu, Ming Liu, Dinh Phung, Gholamreza Haffari:
Learning How to Active Learn by Dreaming. ACL (1) 2019: 4091-4101 - 2018
- [c1]Thuy-Trang Vu, Gholamreza Haffari:
Automatic Post-Editing of Machine Translation: A Neural Programmer-Interpreter Approach. EMNLP 2018: 3048-3053
Coauthor Index
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last updated on 2024-11-25 23:39 CET by the dblp team
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