Adian Liusie

According to our database1, Adian Liusie authored at least 25 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Finetuning LLMs for Comparative Assessment Tasks.
CoRR, 2024

CrossCheckGPT: Universal Hallucination Ranking for Multimodal Foundation Models.
CoRR, 2024

Blending Is All You Need: Cheaper, Better Alternative to Trillion-Parameters LLM.
CoRR, 2024

WaterJudge: Quality-Detection Trade-off when Watermarking Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Investigating the Emergent Audio Classification Ability of ASR Foundation Models.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM Assessment.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Efficient LLM Comparative Assessment: A Product of Experts Framework for Pairwise Comparisons.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

LLM Comparative Assessment: Zero-shot NLG Evaluation through Pairwise Comparisons using Large Language Models.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Who Needs Decoders? Efficient Estimation of Sequence-Level Attributes with Proxies.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Teacher-Student Training for Debiasing: General Permutation Debiasing for Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Zero-shot Audio Topic Reranking using Large Language Models.
CoRR, 2023

Zero-shot NLG evaluation through Pairware Comparisons with LLMs.
CoRR, 2023

CamChoice: A Corpus of Multiple Choice Questions and Candidate Response Distributions.
CoRR, 2023

Who Needs Decoders? Efficient Estimation of Sequence-level Attributes.
CoRR, 2023

Rewarding Chatbots for Real-World Engagement with Millions of Users.
CoRR, 2023

Analyzing Multiple-Choice Reading and Listening Comprehension Tests.
Proceedings of the 9th Workshop on Speech and Language Technology in Education, 2023

Automatic Assessment of Conversational Speaking Tests.
Proceedings of the 9th Workshop on Speech and Language Technology in Education, 2023

MQAG: Multiple-choice Question Answering and Generation for Assessing Information Consistency in Summarization.
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, 2023

Mitigating Word Bias in Zero-shot Prompt-based Classifiers.
Proceedings of the Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023, 2023

Assessing Distractors in Multiple-Choice Tests.
Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems, 2023

SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

CUED at ProbSum 2023: Hierarchical Ensemble of Summarization Models.
Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

2022
"World Knowledge" in Multiple Choice Reading Comprehension.
CoRR, 2022

University of Cambridge at TREC Cast 2022.
Proceedings of the Thirty-First Text REtrieval Conference, 2022

Analyzing Biases to Spurious Correlations in Text Classification Tasks.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022


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