Resolving Range Violations in DBpedia. - Piyawat Lertvittayakumjorn; Natthawut Kertkeidkachorn; Ryutaro Ichise (JIST, 2017)

Correcting Range Violation Errors in DBpedia. - Piyawat Lertvittayakumjorn; Natthawut Kertkeidkachorn; Ryutaro Ichise (ISWC (Posters, Demos & Industry Tracks), 2017)

Exploratory Analysis of Big Social Data Using MIC/MINE Statistics. - Piyawat Lertvittayakumjorn; Chao Wu 001; Yue Liu; Hong Mi; Yike Guo (SocInfo (2), 2017)

Human-grounded Evaluations of Explanation Methods for Text Classification. - Piyawat Lertvittayakumjorn; Francesca Toni (EMNLP/IJCNLP (1), 2019)

Integrating Semantic Knowledge to Tackle Zero-shot Text Classification. - Jingqing Zhang; Piyawat Lertvittayakumjorn; Yike Guo (NAACL-HLT (1), 2019)

Exploratory Analysis for Big Social Data Using Deep Network. - Chao Wu 001; Guolong Wang 002; Jiangcheng Zhu; Piyawat Lertvittayakumjorn; Simon Hu 001; Chilie Tan; Hong Mi; Yadan Xu; Jun Xiao 001 (IEEE Access, 2019)

FIND: Human-in-the-Loop Debugging Deep Text Classifiers. - Piyawat Lertvittayakumjorn; Lucia Specia; Francesca Toni (EMNLP (1), 2020)

DAX: Deep Argumentative eXplanation for Neural Networks. - Emanuele Albini; Piyawat Lertvittayakumjorn; Antonio Rago 001; Francesca Toni (CoRR, 2020)

ESRA: Explainable Scientific Research Assistant. - Pollawat Hongwimol; Peeranuth Kehasukcharoen; Pasit Laohawarutchai; Piyawat Lertvittayakumjorn; Aik Beng Ng; Zhangsheng Lai; Timothy Liu; Peerapon Vateekul (ACL (demo), 2021)

Rational LAMOL: A Rationale-based Lifelong Learning Framework. - Kasidis Kanwatchara; Thanapapas Horsuwan; Piyawat Lertvittayakumjorn; Boonserm Kijsirikul; Peerapon Vateekul (ACL/IJCNLP (1), 2021)

Supporting Complaints Investigation for Nursing and Midwifery Regulatory Agencies. - Piyawat Lertvittayakumjorn; Ivan Petej; Yang Gao; Yamuna Krishnamurthy; Anna Van Der Gaag; Robert Jago; Kostas Stathis (ACL (demo), 2021)

Neural QBAFs: Explaining Neural Networks Under LRP-Based Argumentation Frameworks. - Purin Sukpanichnant; Antonio Rago 001; Piyawat Lertvittayakumjorn; Francesca Toni (AI*IA, 2021)

Argflow: A Toolkit for Deep Argumentative Explanations for Neural Networks. - Adam Dejl; Chloe He 002; Pranav Mangal; Hasan Mohsin; Bogdan Surdu; Eduard Voinea; Emanuele Albini; Piyawat Lertvittayakumjorn; Antonio Rago 001; Francesca Toni (AAMAS, 2021)

The Eval4NLP Shared Task on Explainable Quality Estimation: Overview and Results. - Marina Fomicheva; Piyawat Lertvittayakumjorn; Wei Zhao 033; Steffen Eger; Yang Gao 021 (Eval4NLP, 2021)

Knowledge-Driven Slot Constraints for Goal-Oriented Dialogue Systems. - Piyawat Lertvittayakumjorn; Daniele Bonadiman; Saab Mansour (NAACL-HLT, 2021)

Explanation-Based Human Debugging of NLP Models: A Survey. - Piyawat Lertvittayakumjorn; Francesca Toni (Trans. Assoc. Comput. Linguistics, 2021)

GrASP: A Library for Extracting and Exploring Human-Interpretable Textual Patterns. - Piyawat Lertvittayakumjorn; Leshem Choshen; Eyal Shnarch; Francesca Toni (LREC, 2022)

Findings of the WMT 2022 Shared Task on Quality Estimation. - Chrysoula Zerva; Frédéric Blain; Ricardo Rei; Piyawat Lertvittayakumjorn; José G. C. de Souza; Steffen Eger; Diptesh Kanojia; Duarte M. Alves; Constantin Orasan; Marina Fomicheva; André F. T. Martins; Lucia Specia (WMT, 2022)

Enhancing Lifelong Language Learning by Improving Pseudo-Sample Generation. - Kasidis Kanwatchara; Thanapapas Horsuwan; Piyawat Lertvittayakumjorn; Boonserm Kijsirikul; Peerapon Vateekul (Comput. Linguistics, 2022)

Towards Explainable Evaluation Metrics for Natural Language Generation. - Christoph Leiter; Piyawat Lertvittayakumjorn; Marina Fomicheva; Wei Zhao 033; Yang Gao 021; Steffen Eger (CoRR, 2022)

Argumentative explanations for pattern-based text classifiers. - Piyawat Lertvittayakumjorn; Francesca Toni (Argument Comput., 2023)

Label-Aware Automatic Verbalizer for Few-Shot Text Classification. - Thanakorn Thaminkaew; Piyawat Lertvittayakumjorn; Peerapon Vateekul (CoRR, 2023)

Label-Aware Automatic Verbalizer for Few-Shot Text Classification in Mid-To-Low Resource Languages. - Thanakorn Thaminkaew; Piyawat Lertvittayakumjorn; Peerapon Vateekul (ACL (Student Research Workshop), 2024)

Rambler: Supporting Writing With Speech via LLM-Assisted Gist Manipulation. - Susan Lin; Jeremy Warner; J. D. Zamfirescu-Pereira; Matthew G. Lee; Sauhard Jain; Shanqing Cai; Piyawat Lertvittayakumjorn; Michael Xuelin Huang; Shumin Zhai; Bjoern Hartmann; Can Liu 003 (CHI, 2024)

Can Capacitive Touch Images Enhance Mobile Keyboard Decoding? - Piyawat Lertvittayakumjorn; Shanqing Cai; Billy Dou; Cedric Ho; Shumin Zhai (UIST, 2024)

Meta Lifelong-Learning With Selective and Task-Aware Adaptation. - Thanapapas Horsuwan; Piyawat Lertvittayakumjorn; Kasidis Kanwatchara; Boonserm Kijsirikul; Peerapon Vateekul (IEEE Access, 2024)

Prompt-Based Label-Aware Framework for Few-Shot Multi-Label Text Classification. - Thanakorn Thaminkaew; Piyawat Lertvittayakumjorn; Peerapon Vateekul (IEEE Access, 2024)

Towards Explainable Evaluation Metrics for Machine Translation. - Christoph Leiter; Piyawat Lertvittayakumjorn; Marina Fomicheva; Wei Zhao 033; Yang Gao 021; Steffen Eger (J. Mach. Learn. Res., 2024)

Towards Geo-Culturally Grounded LLM Generations. - Piyawat Lertvittayakumjorn; David Kinney; Vinodkumar Prabhakaran; Donald Martin Jr.; Sunipa Dev (CoRR, 2025)