Publications

Michael Hanna, Yonatan Belinkov, and Sandro Pezzelle. 2023. When Language Models Fall in Love: Animacy Processing in Transformer Language Models. To appear in Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP). (EMNLP 2023)

Abhijith Chintam, Rahel Beloch, Willem Zuidema, Michael Hanna*, and Oskar van der Wal*. 2023. Identifying and Adapting Transformer-Components Responsible for Gender Bias in an English Language Model. To appear in Proceedings of the Sixth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP. (BlackBoxNLP 2023)

Jaap Jumelet, Michael Hanna*, Marianne de Heer Kloots*, Anne Langedijk*, Charlotte Pouw*, and Oskar van der Wal*. 2023. ChapGTP, ILLC’s Attempt at Raising a BabyLM: Improving Data Efficiency by Automatic Task Formation. (BabyLM Challenge 2023)

Michael Hanna, Ollie Liu, and Alexandre Variengien. 2023. How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language model. To appear at the Thirty-seventh Conference on Neural Information Processing Systems. (NeurIPS 2023)

Michael Hanna, Roberto Zamparelli, and David Mareček. 2023. The Functional Relevance of Probed Information: A Case Study. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 835–848, Dubrovnik, Croatia. Association for Computational Linguistics. (EACL 2023)

Michael Hanna*, Federico Pedeni*, Alessandro Suglia, Alberto Testoni, and Raffaella Bernardi. 2022. ACT-Thor: A Controlled Benchmark for Embodied Action Understanding in Simulated Environments. In Proceedings of the 29th International Conference on Computational Linguistics, Gyeongju, Republic of Korea. International Committee on Computational Linguistics. (COLING 2022)

Michael Hanna and Ondrej Bojar. 2021. A Fine-Grained Investigation of BERTScore. In Proceedings of the Sixth Conference on Machine Translation. Punta Cana, Dominican Republic (Online). Association for Computational Linguistics. (WMT 2021)

Michael Hanna and David Marecek. 2021. Investigating BERT’s Knowledge of Hypernymy through Prompting. In Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP. Punta Cana, Dominican Republic. Association for Computational Linguistics. (BlackBoxNLP 2021)

* Equal contribution