Paper 'Explain-then-translate: An Analysis on Improving Program Translation with Self-generated Explanations' presented at EMNLP 2023 (Dec 2023)
Paper 'Effects of #Coronavirus Content Moderation on Misinformation and Anti-Asian Hate on Instagram' accepted by New Media & Society (Jul 2023)
Paper 'AugCSE: Contrastive Sentence Embedding with Diverse Augmentation' accepted at AACL 2022 (Sep 2022); presented at Boston University AI Research Seminar (Sep 2022) and CISE Graduate Student Workshop (Jan 2023)
Preprint 'Knowledge-based Template Translation in Low-Resource Setting' released on arXiv (Sep 2022)
Presented 'Discrete Word Embedding' at CogSci 2021 Boston-Cambridge Meetup (Jul 28, 2021) and KEPS Workshop (ICAPS 2020, Oct 22, 2020)
Team project 'TraceHub' won Best Demo Award at AAAI 2020 (Feb 12, 2020)
Background
PhD student at Boston University, advised by Derry Wijaya
Research interests include language model reasoning & explainability, multi-lingual and low-resource NLP, code generation, and neural-symbolic AI
Focused on understanding language models in data-scarce settings, especially how humans generalize across unseen domains through planning and modular causal symbolic operations
Exploring whether and how language models follow human-like learning patterns, and rethinking NLP task design accordingly
Previously worked as a Research Engineer at IBM Research on industrial orchestration for business automation
Research during Master’s and PhD spans machine translation, sentence representation learning, code translation/generation (e.g., Java-Python), and NLP for social communication