Profil
Teddy Ferdinan
Doktorant
Publikacje(13)
Breaking the illusion of reasoning in Polish LLMs: quality over quantity of thought
Dzmitry Pihulski, Mikołaj Langner, Jan Eliasz, Przemyslaw Kazienko, Jan Kocoń, Teddy Ferdinan, T Ferdinan
Stroudsburg : Association for Computational Linguistics, cop. 2026. s. 1796-1811.
Java source code vulnerability detection using large language model
Dhika R. Anbiya, Teddy Ferdinan, Grzegorz Kołaczek
Procedia Computer Science
Architectural concepts for integrating fundamental drives and emotions into artificial intelligence
Teddy Ferdinan, Wiktoria M Mieleszczenko-Kowszewicz, Jan Kocoń, Przemysław Kazienko
IEEE 2025
Fortifying NLP models against poisoning attacks: The power of personalized prediction architectures
Information Fusion 2025 vol. 114, art. 102692, s. 1-19.
Crowdsource, crawl, or generate? Creating SEA-VL, a multicultural vision-language dataset for Southeast Asia
Teddy Ferdinan, Samuel Cahyawijaya
Kerrville, TX : Association for Computational Linguistics, cop. 2025. s. 18685-18717.
AggTruth: contextual hallucination detection using aggregated attention scores in LLMs
Piotr J. Matys, Jan K Eliasz, Konrad M Kiełczyński, Mikołaj Langner, Teddy Ferdinan, Jan Kocoń, Przemysław Kazienko
Cham : Springer Nature Switzerland AG, cop. 2025. s. 227-243.
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
Into the unknown: Self-learning Large Language Models
Teddy Ferdinan, Jan Kocoń, Przemysław Kazienko
Piscataway, NJ : Institute of Electrical and Electronics Engineers, cop. 2024. s. 423-432.
Incidence of heart disease and stroke among patients with bipolar disorder
Dominik M Krzyżanowski, Teddy Ferdinan, R. Szczepanowski, J Kulińska, Marta Palej-Cieplińska, G. Hernandez Ibarburu
2024. vol. 23, suppl. 1, art. zvae098.067, s. 86-86.
Self-training large language models through knowledge detection
Teddy Ferdinan, Przemysław Kazienko, Wei Jie Yeo, Ranjan Satapathy, Erik Cambria
Stroudsburg : Association for Computational Linguistics, cop. 2024. s. 15033-150451.
Personalized Models Resistant to Malicious Attacks for Human-centered Trusted AI
Proceedings of the Workshop on Artificial Intelligence Safety 2023 (SafeAI 2023)
StudEmo: A Non-aggregated Review Dataset for Personalized Emotion Recognition
Anh Ngo, Argi Candri, Teddy Ferdinan, Jan Kocoń, Wojciech Korczyński
Proceedings of the 1st Workshop on Perspectivist Approaches to NLP @LREC2022