Liusie, Adian

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

Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM Assessment

Raina, V., Liusie, A., & Gales, M. (2024) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 40

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

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

Rewarding Chatbots for Real-World Engagement with Millions of Users

Irvine, R., Boubert, D., Raina, V., Liusie, A., Zhu, Z., Mudupalli, V., Korshuk, A., Liu, Z., Cremer, F., Assassi, V., et al. (2023) · arXiv

Speech and dialogue systemsAI in Service Interactions

Cited by 6

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