Xiaobao Wu
Scholar

Xiaobao Wu

Google Scholar ID: Y1oag4sAAAAJ
Research Scientist, Nanyang Technological University
Large Language ModelsMachine LearningNatural Language Processing
Citations & Impact
All-time
Citations
1,090
 
H-index
18
 
i10-index
27
 
Publications
20
 
Co-authors
13
list available
Resume (English only)
Academic Achievements
  • Paper 'AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge' accepted to ACL 2025 and received the Senior Area Chair Award.
  • Paper 'FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model' accepted to NeurIPS 2024.
  • Paper 'AKEW: Assessing Knowledge Editing in the Wild' accepted to EMNLP 2024.
  • Paper 'Are LLMs Good Zero-shot Fallacy Classifiers?' accepted to EMNLP 2024.
  • Multiple papers accepted to conferences such as ACL 2025, ICML 2025, NAACL 2025, etc.
  • Successfully defended Ph.D. thesis.
Research Experience
  • Serves as a Research Scientist at the College of Computing and Data Science, Nanyang Technological University.
Background
  • Research interests mainly lie in the area of natural language processing, especially in the efficient reasoning, trustworthiness, and multi-agent collaboration of large language models (LLMs).
Miscellany
  • Looking for highly self-motivated Ph.D./master/undergraduate students to collaborate on various interesting topics related to LLMs.