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Profile

Teddy Ferdinan

PhD Student

Teddy Ferdinan is a PhD candidate in the Department of Artificial Intelligence at Wrocław University of Science and Technology. He graduated from the Bachelor's degree program in Informatics at Universitas Katolik Musi Charitas, Indonesia, in 2019. Afterwards, he received the NAWA Ignacy Łukasiewicz Scholarship in 2020. In 2023, he earned the Master's degree in Applied Computer Science from Wrocław University of Science and Technology, ranking second in the faculty-level TOP-10 competition for the best graduates of the year. He started his PhD in October 2023, during which he also received the NCN scholarship from project "Personalized Reasoning in Natural Language Processing".

Currently, his research focuses on large language models and natural language processing, specifically continual learning and transfer learning methods, as well as knowledge boundary probing. He has published works in renowned journals and conferences such as Information Fusion, IEEE Intelligent Systems, ACL, and EMNLP, some of which resulted from international collaboration. Most recently, he contributed to the CLARIN-PL research project, PLLuM and its continuation HIVE AI.

Publications13

Eagle and Finch: RWKV with matrix-valued states and dynamic recurrence

Bo Peng, Daniel Goldstein, Quentin Anthony, Alon Albalak, Eric Alcaide, Stella Biderman, Eugene Cheah, Du, Xingjian, Teddy Ferdinan, Haowen Hou, Przemysław Kazienko, Kranthi Kiran GV, Jan Kocoń, Bartłomiej Koptyra, Satyapriya Krishna, McClelland, Ronald, Lin, Jiaju, Niklas Muennighoff, Fares Obeid, Atsushi Saito, Guangyu Song, Haoqin Tu, Wirawan, Cahya, Stanisław Woźniak, Ruichong Zhang, Bingchen Zhao, Qihang Zhao, Peng Zhou, Jianguo Zhu, Ruijie Zhu

arXiv

2024