2025

• Kabir, M., Abrar, A. and Ananiadou, S., Break the Checkbox: Challenging Closed-Style Evaluations of Cultural Alignment in LLMs, in: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 24–51, 2025 [DOI] [URL]
• Liu, Z., Wang, K., Bao, Z., Zhang, X., Dong, J., Yang, K, Kabir, M., Giannouris, P., Xing, R., Park, S., Kim, J., Li, D., Xie, Q. and Ananiadou, S., FinNLP-FNP-LLMFinLegal-2025 Shared Task: Financial Misinformation Detection Challenge Task, in: Proceedings of the Joint Workshop of the 9th Financial Technology and Natural Language Processing (FinNLP), the 6th Financial Narrative Processing (FNP), and the 1st Workshop on Large Language Models for Finance and Legal (LLMFinLegal), pages 271–276, 2025 [URL]
• Kabir, M., Tahsin, T. and Ananiadou, S., From n-gram to Attention: How Model Architectures Learn and Propagate Bias in Language Modelin, in: Findings of the Association for Computational Linguistics: EMNLP 2025, pages 18478–18498, 2025 [DOI] [URL]
• Abrar, A., Tabassum Oeshy, N., Kabir, M. and Ananiadou, S., Religious Bias Landscape in Language and Text-to-Image Models: Analysis, Detection, and Debiasing Strategies, in: AI & SOCIETY, 2025 [DOI] [URL]
• Kabir, M., Ahmed, T., Rahman, M. M., Giannouris, P. and Ananiadou, S., Semantic Label Drift in Cross-Cultural Translation, in: arXiv, 2025 [DOI] [URL]