Manakul, Potsawee

SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models

Manakul, P., Liusie, A., & Gales, M. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Topic ModelingMisinformation and Its Impacts

Cited by 557

SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models

Manakul, P., Liusie, A., & Gales, M. J. F. (2023) · arXiv

Topic ModelingMisinformation and Its Impacts

Cited by 38

MQAG: Multiple-choice Question Answering and Generation for Assessing Information Consistency in Summarization

Manakul, P., Liusie, A., & Gales, M. (2023) · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 14

Typhoon: Thai Large Language Models

Pipatanakul, K., Jirabovonvisut, P., Manakul, P., Sripaisarnmongkol, S., Patomwong, R., Chokchainant, P., & Tharnpipitchai, K. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 9

CUED at ProbSum 2023: Hierarchical Ensemble of Summarization Models

Manakul, P., Fathullah, Y., Liusie, A., Raina, V., Raina, V., & Gales, M. (2023) · The 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks

Machine Learning in HealthcareBiomedical Text Mining and Ontologies

Cited by 8

SkillAggregation: Reference-free LLM-Dependent Aggregation

Sun, G., Kagrecha, A., Manakul, P., Woodland, P., & Gales, M. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 3

Mitigating Word Bias in Zero-shot Prompt-based Classifiers

Liusie, A., Manakul, P., & Gales, M. (2023) · Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023 (Findings)

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 2

CrossCheckGPT: Universal Hallucination Ranking for Multimodal Foundation Models

Sun, G., Manakul, P., Liusie, A., Pipatanakul, K., Zhang, C., Woodland, P., & Gales, M. (2024) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 1

Towards Better Understanding of Program-of-Thought Reasoning in Cross-Lingual and Multilingual Environments

Payoungkhamdee, P., Tuchinda, P., Baek, J., Cahyawijaya, S., Udomcharoenchaikit, C., Manakul, P., Limkonchotiwat, P., Chuangsuwanich, E., & Nutanong, S. (2025) · Findings of the Association for Computational Linguistics: ACL 2025

Natural Language Processing TechniquesTopic Modeling

Cited by 0