Analyzing Biases to Spurious Correlations in Text Classification Tasks. - Adian Liusie; Vatsal Raina; Vyas Raina; Mark J. F. Gales (AACL/IJCNLP (2), 2022)

University of Cambridge at TREC Cast 2022. - Adian Liusie; Mengjie Qian 001; Xiang Li; Mark J. F. Gales (TREC, 2022)

"World Knowledge" in Multiple Choice Reading Comprehension. - Adian Liusie; Vatsal Raina; Mark J. F. Gales (CoRR, 2022)

CUED at ProbSum 2023: Hierarchical Ensemble of Summarization Models. - Potsawee Manakul; Yassir Fathullah; Adian Liusie; Vyas Raina; Vatsal Raina; Mark J. F. Gales (BioNLP@ACL, 2023)

SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models. - Potsawee Manakul; Adian Liusie; Mark J. F. Gales (EMNLP, 2023)

Assessing Distractors in Multiple-Choice Tests. - Vatsal Raina; Adian Liusie; Mark J. F. Gales (Eval4NLP, 2023)

Mitigating Word Bias in Zero-shot Prompt-based Classifiers. - Adian Liusie; Potsawee Manakul; Mark J. F. Gales (IJCNLP (Findings), 2023)

MQAG: Multiple-choice Question Answering and Generation for Assessing Information Consistency in Summarization. - Potsawee Manakul; Adian Liusie; Mark J. F. Gales (IJCNLP (1), 2023)

Automatic Assessment of Conversational Speaking Tests. - Simon W. McKnight; Arda Civelekoglu; Mark J. F. Gales; Stefano Bannò; Adian Liusie; Katherine M. Knill (SLaTE, 2023)

Analyzing Multiple-Choice Reading and Listening Comprehension Tests. - Vatsal Raina; Adian Liusie; Mark J. F. Gales (SLaTE, 2023)

Rewarding Chatbots for Real-World Engagement with Millions of Users. - Robert Irvine; Douglas Boubert; Vyas Raina; Adian Liusie; Ziyi Zhu; Vineet Mudupalli; Aliaksei Korshuk; Zongyi Liu; Fritz Cremer; Valentin Assassi; Christie-Carol Beauchamp; Xiaoding Lu; et al. (CoRR, 2023)

Who Needs Decoders? Efficient Estimation of Sequence-level Attributes. - Yassir Fathullah; Puria Radmard; Adian Liusie; Mark J. F. Gales (CoRR, 2023)

CamChoice: A Corpus of Multiple Choice Questions and Candidate Response Distributions. - Adian Liusie; Vatsal Raina; Andrew Mullooly; Kate M. Knill; Mark J. F. Gales (CoRR, 2023)

Zero-shot NLG evaluation through Pairware Comparisons with LLMs. - Adian Liusie; Potsawee Manakul; Mark J. F. Gales (CoRR, 2023)

Teacher-Student Training for Debiasing: General Permutation Debiasing for Large Language Models. - Adian Liusie; Yassir Fathullah; Mark J. F. Gales (ACL (Findings), 2024)

Who Needs Decoders? Efficient Estimation of Sequence-Level Attributes with Proxies. - Yassir Fathullah; Puria Radmard; Adian Liusie; Mark J. F. Gales (EACL (1), 2024)

LLM Comparative Assessment: Zero-shot NLG Evaluation through Pairwise Comparisons using Large Language Models. - Adian Liusie; Potsawee Manakul; Mark J. F. Gales (EACL (1), 2024)

Efficient LLM Comparative Assessment: A Product of Experts Framework for Pairwise Comparisons. - Adian Liusie; Vatsal Raina; Yassir Fathullah; Mark J. F. Gales (EMNLP, 2024)

Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM Assessment. - Vyas Raina; Adian Liusie; Mark J. F. Gales (EMNLP, 2024)

Investigating the Emergent Audio Classification Ability of ASR Foundation Models. - Rao Ma; Adian Liusie; Mark J. F. Gales; Kate M. Knill (NAACL-HLT, 2024)

WaterJudge: Quality-Detection Trade-off when Watermarking Large Language Models. - Piotr Molenda; Adian Liusie; Mark J. F. Gales (NAACL-HLT (Findings), 2024)

Zero-Shot Audio Topic Reranking Using Large Language Models. - Mengjie Qian 001; Rao Ma; Adian Liusie; Erfan Loweimi; Kate M. Knill; Mark J. F. Gales (SLT, 2024)

Blending Is All You Need: Cheaper, Better Alternative to Trillion-Parameters LLM. - Xiaoding Lu; Zongyi Liu; Adian Liusie; Vyas Raina; Vineet Mudupalli; Yuwen Zhang; William Beauchamp (CoRR, 2024)

CrossCheckGPT: Universal Hallucination Ranking for Multimodal Foundation Models. - Guangzhi Sun; Potsawee Manakul; Adian Liusie; Kunat Pipatanakul; Chao Zhang 031; Philip C. Woodland; Mark J. F. Gales (CoRR, 2024)

Finetuning LLMs for Comparative Assessment Tasks. - Vatsal Raina; Adian Liusie; Mark J. F. Gales (COLING, 2025)