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Ke Tran
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2020 – today
- 2024
- [c5]David Stap, Eva Hasler, Bill Byrne, Christof Monz, Ke Tran:
The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities. ACL (1) 2024: 6189-6206 - 2022
- [c4]Saleh Soltan, Victor Soto, Ke Tran, Wael Hamza:
A Hybrid Approach to Cross-lingual Product Review Summarization. EMNLP (Industry Track) 2022: 18-28 - [c3]Tobias Domhan, Eva Hasler, Ke Tran, Sony Trenous, Bill Byrne
, Felix Hieber:
The Devil is in the Details: On the Pitfalls of Vocabulary Selection in Neural Machine Translation. NAACL-HLT 2022: 1861-1874 - [i3]Tobias Domhan, Eva Hasler, Ke Tran, Sony Trenous, Bill Byrne, Felix Hieber:
The Devil is in the Details: On the Pitfalls of Vocabulary Selection in Neural Machine Translation. CoRR abs/2205.06618 (2022) - [i2]Felix Hieber, Michael J. Denkowski, Tobias Domhan, Barbara Darques Barros, Celina Dong Ye, Xing Niu, Cuong Hoang, Ke Tran, Benjamin Hsu, Maria Nadejde, Surafel Melaku Lakew, Prashant Mathur, Marcello Federico, Anna Currey:
Sockeye 3: Fast Neural Machine Translation with PyTorch. CoRR abs/2207.05851 (2022) - 2021
- [c2]Eva Hasler, Tobias Domhan, Jonay Trénous, Ke Tran, Bill Byrne
Improving the Quality Trade-Off for Neural Machine Translation Multi-Domain Adaptation. EMNLP (1) 2021: 8470-8477 - 2020
- [c1]Ke Tran, Ming Tan:
Generating Synthetic Data for Task-Oriented Semantic Parsing with Hierarchical Representations. SPNLP@EMNLP 2020: 17-21 - [i1]Ke Tran, Ming Tan:
Generating Synthetic Data for Task-Oriented Semantic Parsing with Hierarchical Representations. CoRR abs/2011.02050 (2020)
Coauthor Index
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last updated on 2024-09-26 00:58 CEST by the dblp team
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