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Ze Wang

Ze Wang

Hello! I am a PhD candidate at University College London and a PhD Scholar at the Stone Centre, with research collaborations with Holistic AI and IFOW. 


Publications

  • Bias Amplification: Large Language Models as Increasingly Biased Media. Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics 

  • JobFair: A Framework for Benchmarking Gender Hiring Bias in Large Language Models. Findings of the Association for Computational Linguistics: EMNLP 2024

  • SAGED: A holistic bias-benchmarking pipeline for language models with customisable fairness calibration. Proceedings of the 31st international conference on computational linguistics 

Work in progress

  • Large Language Models in Hiring.

  • Large Language Models and Politics.

  • Large Language Models and Education.

  • Agents.

  • Science and AI.

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