Piyawat Lertvittayakumjorn
Scholar

Piyawat Lertvittayakumjorn

Google Scholar ID: DtWe7ggAAAAJ
Google
Natural Language ProcessingExplainable AIHuman-AI Collaboration
Citations & Impact
All-time
Citations
971
 
H-index
16
 
i10-index
21
 
Publications
20
 
Co-authors
6
list available
Resume (English only)
Academic Achievements
  • Published 'Rambler: Supporting Writing With Speech via LLM-Assisted Gist Manipulation' at CHI 2024.
  • Published 'Can Capacitive Touch Images Enhance Mobile Keyboard Decoding?' at UIST 2024.
  • Published 'Towards Explainable Evaluation Metrics for Machine Translation' in the Journal of Machine Learning Research (JMLR) in 2024.
  • Two papers accepted to IEEE Access in 2024: 'Prompt-Based Label-Aware Framework for Few-Shot Multi-Label Text Classification' and 'Meta Lifelong-Learning With Selective and Task-Aware Adaptation'.
  • Paper 'Enhancing Lifelong Language Learning by Improving Pseudo-Sample Generation' accepted by Computational Linguistics journal in 2022.
  • Published 'GrASP: A Library for Extracting and Exploring Human-Interpretable Textual Patterns' at LREC 2022 and released the open-source GrASP library.
  • Survey paper 'Explanation-Based Human Debugging of NLP Models: A Survey' accepted by TACL in 2021.
  • Published 'Rational LAMOL: A Rationale-Based Lifelong Learning Framework' at ACL-IJCNLP 2021; demo paper 'ESRA: Explainable Scientific Research Assistant' won Best Demo Runner-up Award at ACL-IJCNLP 2021.
  • Internship work 'Knowledge-Driven Slot Constraints for Goal-Oriented Dialogue Systems' accepted at NAACL 2021.
  • Paper 'FIND: Human-in-the-Loop Debugging Deep Text Classifiers' accepted at EMNLP 2020.
  • Served as Area Chair for EMNLP 2021 and EMNLP 2022 in tracks related to interpretability and analysis of NLP models.
  • Co-organized the WMT 2022 shared task on Quality Estimation.
  • Contributed to a dashboard tracking global clinical AI research, published in The Lancet Digital Health.
  • Selected as a finalist in the abstract competition at SACC 2020.