Generating Synthetic Data for Task-Oriented Semantic Parsing with Hierarchical Representations. - Ke Tran; Ming Tan (SPNLP@EMNLP, 2020)

Improving the Quality Trade-Off for Neural Machine Translation Multi-Domain Adaptation. - Eva Hasler; Tobias Domhan; Jonay Trénous; Ke Tran; Bill Byrne; Felix Hieber (EMNLP (1), 2021)

A Hybrid Approach to Cross-lingual Product Review Summarization. - Saleh Soltan; Victor Soto; Ke Tran; Wael Hamza (EMNLP (Industry Track), 2022)

The Devil is in the Details: On the Pitfalls of Vocabulary Selection in Neural Machine Translation. - Tobias Domhan; Eva Hasler; Ke Tran; Sony Trenous; Bill Byrne; Felix Hieber (NAACL-HLT, 2022)

Sockeye 3: Fast Neural Machine Translation with PyTorch. - Felix Hieber; Michael J. Denkowski; Tobias Domhan; Barbara Darques Barros; Celina Dong Ye; Xing Niu 001; Cuong Hoang; Ke Tran; Benjamin Hsu; Maria Nadejde; Surafel Melaku Lakew; Prashant Mathur; et al. (CoRR, 2022)

The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities. - David Stap; Eva Hasler; Bill Byrne; Christof Monz; Ke Tran (ACL (1), 2024)