Deyi Xiong

Motivation Statement 

 If elected as a board member, I would like to work towards a more inclusive and internationalized ELRA on the following aspects: 

  1. Fostering interdisciplinary and cross-cultural collaboration: Recent years have witnessed a transformative change in the world of NLP triggered by large language models (LLMs). Under the new paradigm, general-purpose models that excel in multiple domains, languages (especially low-resource languages) and cultures are acclaimed. This requires not only multilingual resources but also transdisciplinary and cross-cultural philosophies in developing capable, safe, balanced and trustworthy multilingual LLMs, which is one of my research interests.
  1. Promoting language data curation and sharing: I’ve co-authored plenty of open-source datasets, e.g., RiSAWOZ/X-RiSAWOZ, TED-CDB, CBBQ, CMoralEval, LHMKE. As well-curated data are of value to cutting-edge research, I will continue to explore initiatives to curate and open-source more resources tailored for generative AI, especially for low-resource languages.
  1. Connecting ELRA to China and Asia: I’ve been in deep collaboration with a number of ELRA members, and recently with ELRA, under the support of international projects. I would like to extend the cooperation with ELRA and its members to co-organize a variety of events (e.g., conferences, workshops, forums) in Asia, bringing ELRA’s influence and impact to China and Asia.

Bio:  

Deyi Xiong is a Professor of Computer Science at Tianjin University (TJU), Director of both the Natural Language Processing Laboratory at the College of Intelligence and Computing, TJU and the International Joint Research Center of Language Intelligence and Technology at TJU. Prior to joining TJU, he was a professor at Soochow University and a research scientist at the Institute for Infocomm Research, Singapore. His research focuses on natural language processing, machine translation, large language models and AI4Science. He has published over 200 papers in prestigious journals and conferences, including Computational Linguistics, IEEE TPAMI, IEEE TASLP, Artificial Intelligence, NeurIPS, AAAI, ACL, and EMNLP. He is the first author of the book “Linguistically Motivated Statistical Machine Translation: Models and Algorithms” published by Springer and the Chinese book “Neural Machine Translation: Foundations, Principles, Practices and Frontiers”. He was the program co-chair of IALP 2021 and CWMT 2017, co-sponsorship chair of AACL 2022 and EMNLP 2023, co-demo chair of ACL 2024. He has also served as an (senior) area chair of conferences including ACL, EMNLP, NAACL and COLING. He was the founder and co-organizer of multiple ACL/EMNLP/NAACL-affiliated workshops such as S2MT 2015, SedMT 2016 and DiscoMT 2019. He is an action editor of both CL and TACL, associate editor of ACM TALLIP, section editor of Data in Brief. He led the development of a variety of systems and platforms, e.g., the open-source multilingual LLM FuxiTranyu-8B that supports 43 natural languages and 16 programming languages, OpenEval that benchmarks Chinese LLMs across capability, alignment and safety. 

More information is available at: https://dyxiong.github.io/.