Research

Unlocking Parameter-Efficient Fine-Tuning for Low-Resource Language Translation

Published in 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2024

In this paper, we conducted comprehensive empirical experiments with varying LRL domains and sizes to evaluate the performance of 8 PEFT methods with in total of 15 architectures using the SacreBLEU score.

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Exploring Student Motivation in Integration of Soft Skills Training within Three Levels of Computer Science Programs

Published in The Technical Symposium on Computer Science Education (SIGCSE TS), 2024

In this paper, we present three comprehensive curricula that intertwine soft skills within academic training for three distinct tiers of computer science education: undergraduate, master, and professional levels.

Recommended citation: Lee, E. S. A., Danukarjanto, L., Sharmin, S., Hung, S. Y., Huang, S., & Su, T. (2024, March). Exploring Student Motivation in Integration of Soft Skills Training within Three Levels of Computer Science Programs. In Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1 (pp. 708-714) https://dl.acm.org/doi/abs/10.1145/3626252.3630852