About
Teddy Ferdinan acquired his Master's degree in Applied Computer Science from Wrocław University of Science and Technology (Wrocław Tech) in 2023 and was among the Top 10 graduates of Faculty Information and Communication Technology of the year. He has also participated in various research projects, most recently "PLLuM - Polish Large Language Model", "CLARIN - Common Language Resources and Technology Infrastructure" and "Personalized Reasoning in Natural Language Processing". Currently, he is a PhD student working in the Department of Artificial Intelligence of Wrocław Tech.
Research Interests
Education
BSc in Informatics
Universitas Katolik Musi Charitas, Indonesia · 2019
MSc in Applied Computer Science
Wrocław University of Science and Technology, Poland · 2023
Publications
Breaking the Illusion of Reasoning in Polish LLMs
2026 · EACL 2026
Fortifying NLP Models Against Poisoning Attacks: The Power of Personalized Prediction Architectures
2025 · Information Fusion 114
Architectural Concepts for Integrating Fundamental Drives and Emotions Into AI
2025 · IEEE Intelligent Systems 40(6)
PLLuM: A Family of Polish Large Language Models
2025 · arXiv 2511.03823
HalluBrainScan: Model-agnostic Reference-free Activation-based LLM Hallucination Detection
2025 · arXiv (preprint)
AggTruth: Contextual Hallucination Detection Using Aggregated Attention Scores in LLMs
2025 · ICCS Workshops 5 (2025)
Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence
2024 · arXiv 2404.05892
Self-training Large Language Models through Knowledge Detection
2024 · Findings of EMNLP 2024
Into the Unknown: Self-Learning Large Language Models
2024 · ICDM Workshops 2024
Personalized Models Resistant to Malicious Attacks for Human-centered Trusted AI
2023 · SafeAI@AAAI 2023
StudEmo: a non-aggregated review dataset for personalized emotion recognition
2022 · *LREC 2022 : Workshop Language Resources and Evaluation Conference : 20th June 2022, 1st Workshop on Perspectivist Approaches to NLP (NLPerspectives) : proceedings*
