Zilu Tang
Scholar

Zilu Tang

Google Scholar ID: E9g28XEAAAAJ
Boston University
ReasoningLow-resource NLPlarge language modelsneural symbolic AI
Citations & Impact
All-time
Citations
78
 
H-index
5
 
i10-index
2
 
Publications
20
 
Co-authors
13
list available
Resume (English only)
Academic Achievements
  • 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