How does prompt engineering affect ChatGPT performance on unsupervised entity resolution? - Khanin Sisaengsuwanchai; Navapat Nananukul; Mayank Kejriwal (CoRR, 2023)

HALO: An Ontology for Representing Hallucinations in Generative Models. - Navapat Nananukul; Mayank Kejriwal (CoRR, 2023)

Balancing Efficiency and Quality in LLM-Based Entity Resolution on Structured Data. - Navapat Nananukul; Mayank Kekriwal (ASONAM (3), 2024)

Unsupervised Federated Domain Adaptation for Segmentation of MRI Images. - Navapat Nananukul; Hamid Soltanian-Zadeh; Mohammad Rostami (CoRR, 2024)

What if Red Can Talk? Dynamic Dialogue Generation Using Large Language Models. - Navapat Nananukul; Wichayaporn Wongkamjan (CoRR, 2024)

Cost-efficient prompt engineering for unsupervised entity resolution in the product matching domain. - Navapat Nananukul; Khanin Sisaengsuwanchai; Mayank Kejriwal (Discov. Artif. Intell., 2024)

Multi-Source Data Integration for Segmentation of Unannotated MRI Images. - Navapat Nananukul; Hamid Soltanian-Zadeh; Mohammad Rostami (IEEE J. Biomed. Health Informatics, 2025)