Jiuzhou Han
I am a 3rd-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 research focuses on reliable agentic AI and large language models. Develop autonomous agents that operate in complex environments and improve reasoning reliability via external verification and tool engagement.
Prior to this, I obtained my Master of Science (Computer Science) degree at University of Melbourne (2019 - 2021), supervised by Prof. Trevor Cohn and Dr. Daniel Beck.
News
| Oct 28, 2026 |
 Our paper DeepSEA: A Multilingual Evaluation Benchmark for Southeast Asia is accepted to the 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP 2026).
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| Apr 7, 2026 |
Our paper Legal citation prediction with LLMs: a comparative evaluation of instruction tuning, retrieval, and jurisdiction-specific pre-training on the AusLaw citation benchmark is accepted to Artificial Intelligence and Law.
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| Nov 9, 2025 |
Our paper Uncertainty-Based Methods for Automated Process Reward Data Construction and Output Aggregation in Mathematical Reasoning is accepted to The 40th Annual AAAI Conference on Artificial Intelligence (AAAI 2026).
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| Aug 21, 2025 |
Our paper VerifiAgent: a Unified Verification Agent in Language Model Reasoning is accepted to the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025).
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| Apr 26, 2025 |
Our paper Agent S: An Open Agentic Framework that Uses Computers Like a Human won the Best Paper Award of the ICLR 2025 Agentic AI for Science Workshop.
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