Han Zhou

Biography

I am a second-year PhD student in Computation, Cognition, and Language (NLP) at Language and Technology Lab, University of Cambridge. I am supervised by Dr Ivan Vulic and Prof Anna Korhonen. I am also a student researcher at Google Research.

Before starting my PhD, I was an undergraduate student reading Engineering Science at University of Oxford. I received my second Master degree in MSc Machine Learning, University College London. I graduated top of my class.

I am always interested in modular, efficient, and reward-driven responsible intelligence.

Interests

Education

PhD in Computation, Cognition, and Language, Oct 2022 -

University of Cambridge
MSc in Machine Learning, 2020 - 2021

University College London
BA, MEng in Engineering Science, 2015 - 2019

University of Oxford

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Han Zhou, Xingchen Wan, Lev Proleev, Diana Mincu, Jilin Chen, Katherine Heller, Subhrajit Roy (2023). Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering. Advances in Neural Information Processing Systems (NeurIPS 2023 R0-FoMo).

Han Zhou, Xingchen Wan, Ivan Vulić, Anna Korhonen (2023). Survival of the Most Influential Prompts: Efficient Black-Box Prompt Search via Clustering and Pruning. Findings of the Association for Computational Linguistics (EMNLP).

Songbo Hu, Han Zhou, Zhangdie Yuan, Milan Gritta, Guchun Zhang, Ignacio Iacobacci, Anna Korhonen, Ivan Vulić (2023). A Systematic Study of Performance Disparities in Multilingual Task-Oriented Dialogue Systems. The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP).

Songbo Hu, Han Zhou, Mete Hergul, Milan Gritta, Guchun Zhang, Ignacio Iacobacci, Ivan Vulić, Anna Korhonen (2023). Multi3WOZ: A Multilingual, Multi-Domain, Multi-Parallel Dataset for Training and Evaluating Culturally Adapted Task-Oriented Dialog Systems. Transactions of the Association for Computational Linguistics (TACL).

Han Zhou, Xingchen Wan, Ivan Vulić, Anna Korhonen (2023). AutoPEFT: Automatic Configuration Search for Parameter-Efficient Fine-Tuning. arXiv:2301.12132.

Qingcheng Zeng, Lucas Garay, Peilin Zhou, Dading Chong, Yining Hua, Jiageng Wu, Yikang Pan, Han Zhou, Rob Voigt, Jie Yang (2023). GreenPLM: Cross-Lingual Transfer of Monolingual Large Language Models at Almost No Cost. The 32nd International Joint Conference on Artificial Intelligence (IJCAI).

Han Zhou, Ignacio Iacobacci, Pasquale Minervini (2023). XQA-DST: Multi-Domain and Multi-Lingual Dialogue State Tracking. Findings of the Association for Computational Linguistics (EACL).