Jiuzhou Han
I am a 1st-year PhD student in NLP at the Department of Data Science & AI, Monash University (2023 - now), supervised by Dr. Ehsan Shareghi and Prof. Wray Buntine. My PhD research focuses on how to enhance the generative performance of the pre-trained language models (e.g., GPT-4).
Prior to this, I obtained my Master of Science (Computer Science) degree at University of Melbourne (2019 - 2021). During my master stage, I finished a NLP research project which was about the variational graph-to-text generation, supervised by Prof. Trevor Cohn and Dr. Daniel Beck.
News
| Jan 26, 2024 |
 Our recent paper Towards Uncertainty-Aware Language Agent has been available on arXiv. Check its blog!
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| Jan 18, 2024 |
 Our paper Reward Engineering for Generating Semi-structured Explanation has been accepted to the 2024 Conference of the European Chapter of the Association for Computational Linguistics (EACL).
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| Dec 13, 2023 |
Our paper POSQA: Probe the World Models of LLMs with Size Comparisons was accepted to the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP).
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| May 23, 2023 |
Our paper PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs has been available on arXiv.
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| Oct 6, 2022 |
Our paper Self-supervised Graph Masking Pre-training for Graph-to-Text Generation was accepted to the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP).
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