Gales, Mark

Maximum likelihood linear transformations for HMM-based speech recognition

Gales, M. J. F. (1998) · Computer Speech & Language

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 1,482

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

Improved neural network based language modelling and adaptation

Park, J., Liu, X., Gales, M. J. F., & Woodland, P. C. (2010) · Interspeech 2010

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 81

Segmental hidden Markov models

Gales, M. J. F., & Young, S. J. (1993) · 3rd European Conference on Speech Communication and Technology (Eurospeech 1993)

Bayesian Methods and Mixture ModelsSpeech Recognition and Synthesis

Cited by 53

Uncertainty Estimation in Autoregressive Structured Prediction

Malinin, A., & Gales, M. (2020) · arXiv

Natural Language Processing TechniquesAdversarial Robustness in Machine Learning

Cited by 48

Uncertainty Estimation in Autoregressive Structured Prediction

Gales, M., & Malinin, A. (2021) · Apollo - University of Cambridge Repository

Natural Language Processing TechniquesAdversarial Robustness in Machine Learning

Cited by 48

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

Incorporating uncertainty into deep learning for spoken language assessment

Malinin, A., Ragni, A., Knill, K., & Gales, M. (2017) · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

Speech Recognition and SynthesisEFL/ESL Teaching and Learning

Cited by 29

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

LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History

Gupta, A., Sheth, I., Raina, V., Gales, M., & Fritz, M. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Speech and dialogue systemsTopic Modeling

Cited by 10

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