Research Associate in AI and Law

⭐ Hiring: The THUNLP group at Tsinghua Univeristy has a few internship opportunities available for legal AI. Master/PhD students in computer science or law are very welcome to apply! Feel free to reach out to me via email if you have any questions.

I am a postdoctoral researcher at the NLP group at Tsinghua University, working with Prof. Zhiyuan Liu and Dr. Sean Ye on AI and Law. My current research interests are legal LLMs and computational modelling of legal reasoning.

Before joining Tsinghua University, I worked as a Research Associate at the Cambridge Faculty of Law at the Univeristy of Cambridge, working with Prof. Felix Steffek on dispute resolution for the UK Employment Tribunal. Before that, I worked as a Research Assistant at the Centre for Business Research at the University of Cambridge, collaborating with Prof. Felix Steffek and Prof. Simon Deakin on Legal Systems and Artificial Intelligence.

I completed my PhD in Computer Science in the NLIP group at the University of Cambridge supervised by Prof. Ann Copestake. My PhD thesis focused on robust evaluation for NLG tasks for grammaticality, faithfulness and diversity. I jointly organised the weekly Cambridge NLIP seminars with Georgi Karadzhov in my third year.

I previously held the Treasurer position (2022/23) and the Chair (2021/22) of Women@CL at the Department of Computer Science and Technology. In Women@CL, we hope to support women in computing in their careers and encourage them to aspire to leadership positions, both in academia and industry. I am also a member of Downing College Cambridge. I held the position of Chief Operation Officer (COO) at Downing Enterprise for 2021/22. We organise annual pre-seed startup competitions directed by alumni of Downing College to promote enterpreneurship at the University of Cambridge.

Outside the lab, I enjoy camping and hiking. I am a huge fan of musicals and ballet dances. I have been organising the Cambridge PhD Multidisciplinary seminars since 2019.

News

  • (10/2024) Our paper The CLC-UKET Dataset: Benchmarking Case Outcome Prediction for the UK Employment Tribunal has been accepted to appear in NLLP 2024.
  • (09/2024) Our paper Automatic information extraction from Employment Tribunal judgements using large language models has been accepted by the Artificial Intelligence and Law journal.
  • (07/2024) I joined the Tsinghua University NLP Group as a postdoctoral researcher. My research focus covers the intersection of AI and law.
  • (08/2023) Our paper The Cambridge Law Corpus: A Corpus for Legal AI Research has been accepted to appear in the Datasets and Benchmarks Track at NeurIPS 2023.

Publications

  • The CLC-UKET Dataset: Benchmarking Case Outcome Prediction for the UK Employment Tribunal. Huiyuan Xie, Felix Steffek, Joana de Faria, Christine Carter, Jonathan Rutherford. In NLLP Workshop (EMNLP 2024). [PDF]
  • The Cambridge Law Corpus: A Corpus for Legal AI Research. Andreas Östling, Holli Sargeant, Huiyuan Xie, Ludwig Bull, Alexander Terenin, Leif Jonsson, Måns Magnusson, Felix Steffek. In Datasets and Benchmarks Track (NeurIPS 2023). [PDF] [WEBSITE]
  • TIAGE: A Benchmark for Topic-Shift Aware Dialog Modeling. Huiyuan Xie, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu, and Ann Copestake. In Findings of EMNLP 2021. [PDF] [GITHUB]
  • Going Beneath the Surface: Evaluating Image Captioning for Grammaticality, Truthfulness and Diversity. Huiyuan Xie, Tom Sherborne, Alexander Kuhnle, Ann Copestake. In Workshop on Evaluating Evaluation of AI Systems (AAAI 2020). [PDF]
  • Audio Visual Scene-Aware Dialog System Using Dynamic Memory Networks. Huiyuan Xie, Ignacio Iacobacci. In Workshop on Dialog System Technology Challenge (AAAI 2020).
  • Perceptual-Sensitive GAN for Generating Adversarial Patches. Aishan Liu, Xianglong Liu, Jiaxin Fan, Yuqing Ma, Anlan Zhang, Huiyuan Xie, Dacheng Tao. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2019). [PDF]
  • How clever is the FiLM model, and how clever can it be?. Alexander Kuhnle, Huiyuan Xie, Ann Copestake. In Workshop on Shortcomings in Vision and Language (ECCV 2018). [PDF]
  • An Algorithm to Compute Minimal Unsatisfiable Subsets for a Decidable Fragment of First-Order Formulas. Huiyuan Xie, Jie Luo. In IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2016).