Vulić, Ivan

How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models

Rust, P., Pfeiffer, J., Vulić, I., Ruder, S., & Gurevych, I. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 202

RedditBias: A real-world resource for bias evaluation and debiasing of conversational language models

Barikeri, S., Lauscher, A., Vulić, I., & Glavaš, G. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 121

HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment

Vulić, I., Gerz, D., Kiela, D., Hill, F., & Korhonen, A. (2016) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 90

Exploiting Image Generality for Lexical Entailment Detection

Kiela, D., Rimell, L., Vulić, I., & Clark, S. (2015) · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 55

TopViewRS: Vision-Language Models as Top-View Spatial Reasoners

Li, C., Zhang, C., Zhou, H., Collier, N., Korhonen, A., & Vulić, I. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Multimodal Machine Learning ApplicationsLogic, Reasoning, and Knowledge

Cited by 12