StudEmo: A Non-aggregated Review Dataset for Personalized Emotion Recognition. - Anh Ngo; Agri Candri; Teddy Ferdinan; Jan Kocon; Wojciech Korczynski (NLPerspectives@LREC, 2022)

Personalized Models Resistant to Malicious Attacks for Human-centered Trusted AI. - Teddy Ferdinan; Jan Kocon (SafeAI@AAAI, 2023)

Self-training Large Language Models through Knowledge Detection. - Wei Jie Yeo; Teddy Ferdinan; Przemyslaw Kazienko; Ranjan Satapathy; Erik Cambria (EMNLP (Findings), 2024)

Into the Unknown: Self-Learning Large Language Models. - Teddy Ferdinan; Jan Kocon; Przemyslaw Kazienko (ICDM (Workshops), 2024)

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; Xingjian Du; Teddy Ferdinan; Haowen Hou; Przemyslaw Kazienko; Kranthi Kiran GV; et al. (CoRR, 2024)

Crowdsource, Crawl, or Generate? Creating SEA-VL, a Multicultural Vision-Language Dataset for Southeast Asia. - Samuel Cahyawijaya; Holy Lovenia; Joel Ruben Antony Moniz; Tack Hwa Wong; Mohammad Rifqi Farhansyah; Thant Thiri Maung; Frederikus Hudi; David Anugraha; Muhammad Ravi Shulthan Habibi; Muhammad Reza Qorib; Amit Agarwal; Joseph Marvin Imperial; et al. (ACL (1), 2025)

AggTruth: Contextual Hallucination Detection Using Aggregated Attention Scores in LLMs. - Piotr Matys; Jan Eliasz; Konrad Kielczynski; Mikolaj Langner; Teddy Ferdinan; Jan Kocon; Przemyslaw Kazienko (ICCS (Workshops 5), 2025)

Fortifying NLP models against poisoning attacks: The power of personalized prediction architectures. - Teddy Ferdinan; Jan Kocon (Inf. Fusion, 2025)

Crowdsource, Crawl, or Generate? Creating SEA-VL, a Multicultural Vision-Language Dataset for Southeast Asia. - Samuel Cahyawijaya; Holy Lovenia; Joel Ruben Antony Moniz; Tack Hwa Wong; Mohammad Rifqi Farhansyah; Thant Thiri Maung; Frederikus Hudi; David Anugraha; Muhammad Ravi Shulthan Habibi; Muhammad Reza Qorib; Amit Agarwal; Joseph Marvin Imperial; et al. (CoRR, 2025)