| 2026 | CoNLL | CAIT: A Syntactic Parsing Toolkit for Child-Adult InTeractions. | Francesca Padovani, Xiulin Yang, Bastian Bunzeck, Jaap Jumelet, Yevgen Matusevych, Nathan Schneider, Arianna Bisazza |
| 2026 | EACL | Assessing the Impact of Typological Features on Multilingual Machine Translation in the Age of Large Language Models. | Vitalii Hirak, Jaap Jumelet, Arianna Bisazza |
| 2026 | EACL | BabyBabelLM: A Multilingual Benchmark of Developmentally Plausible Training Data. | Jaap Jumelet, Abdellah Fourtassi, Akari Haga, Bastian Bunzeck, Bhargav Shandilya, Diana Galvn-Sosa, Faiz Ghifari Haznitrama, Francesca Padovani, Francois Meyer, Hai Hu, Julen Etxaniz, Laurent Prvot, Linyang He, Mara Grandury, Mila Marcheva, Negar Foroutan, Nikitas Theodoropoulos, Pouya Sadeghi, Siyuan Song, Suchir Salhan, Susana Zhou, Yurii Paniv, Ziyin Zhang, Arianna Bisazza, Alex Warstadt, Leshem Choshen |
| 2026 | EACL | Steering Large Language Models for Machine Translation Personalization. | Daniel Scalena, Gabriele Sarti, Arianna Bisazza, Elisabetta Fersini, Malvina Nissim |
| 2025 | ACL | Cross-Lingual Transfer of Debiasing and Detoxification in Multilingual LLMs: An Extensive Investigation. | Vera Neplenbroek, Arianna Bisazza, Raquel Fernndez |
| 2025 | CogSci | Simulating the Emergence of Differential Case Marking with Communicating Neural-Network Agents. | Yuchen Lian, Arianna Bisazza, Tessa Verhoef |
| 2025 | EMNLP | TurBLiMP: A Turkish Benchmark of Linguistic Minimal Pairs. | Ezgi Basar, Francesca Padovani, Jaap Jumelet, Arianna Bisazza |
| 2025 | EMNLP | Reading Between the Prompts: How Stereotypes Shape LLM's Implicit Personalization. | Vera Neplenbroek, Arianna Bisazza, Raquel Fernndez |
| 2025 | EMNLP | Child-Directed Language Does Not Consistently Boost Syntax Learning in Language Models. | Francesca Padovani, Jaap Jumelet, Yevgen Matusevych, Arianna Bisazza |
| 2025 | EMNLP | When Models Reason in Your Language: Controlling Thinking Language Comes at the Cost of Accuracy. | Jirui Qi, Shan Chen, Zidi Xiong, Raquel Fernndez, Danielle S. Bitterman, Arianna Bisazza |
| 2025 | EMNLP | Unsupervised Word-level Quality Estimation for Machine Translation Through the Lens of Annotators (Dis)agreement. | Gabriele Sarti, Vilm Zouhar, Malvina Nissim, Arianna Bisazza |
| 2025 | EMNLP | NeLLCom-Lex: A Neural-agent Framework to Study the Interplay between Lexical Systems and Language Use. | Yuqing Zhang, Ecesu rker, Tessa Verhoef, Gemma Boleda, Arianna Bisazza |
| 2025 | Interspeech | On the reliability of feature attribution methods for speech classification. | Gaofei Shen, Hosein Mohebbi, Arianna Bisazza, Afra Alishahi, Grzegorz Chrupala |
| 2025 | NAACL | Pointwise Mutual Information as a Performance Gauge for Retrieval-Augmented Generation. | Tianyu Liu, Jirui Qi, Paul He, Arianna Bisazza, Mrinmaya Sachan, Ryan Cotterell |
| 2024 | CogSci | Neural-agent Language Learning and Communication: Emergence of Dependency Length Minimization. | Yuqing Zhang, Tessa Verhoef, Gertjan van Noord, Arianna Bisazza |
| 2024 | COLING | Endowing Neural Language Learners with Human-like Biases: A Case Study on Dependency Length Minimization. | Yuqing Zhang, Tessa Verhoef, Gertjan van Noord, Arianna Bisazza |
| 2024 | EMNLP | The SIFo Benchmark: Investigating the Sequential Instruction Following Ability of Large Language Models. | Xinyi Chen, Baohao Liao, Jirui Qi, Panagiotis Eustratiadis, Christof Monz, Arianna Bisazza, Maarten de Rijke |
| 2024 | EMNLP | Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented Generation. | Jirui Qi, Gabriele Sarti, Raquel Fernndez, Arianna Bisazza |
| 2024 | ICLR | Quantifying the Plausibility of Context Reliance in Neural Machine Translation. | Gabriele Sarti, Grzegorz Chrupala, Malvina Nissim, Arianna Bisazza |
| 2024 | NAACL | Encoding of lexical tone in self-supervised models of spoken language. | Gaofei Shen, Michaela Watkins, Afra Alishahi, Arianna Bisazza, Grzegorz Chrupala |
| 2023 | CogSci | The importance of communicative success for simulating the emergence of a Word Order/Case Marking trade-off with Neural Agents. | Yuchen Lian, Arianna Bisazza, Tessa Verhoef |
| 2023 | EMNLP | Cross-Lingual Consistency of Factual Knowledge in Multilingual Language Models. | Jirui Qi, Raquel Fernndez, Arianna Bisazza |
| 2023 | Interspeech | Wave to Syntax: Probing spoken language models for syntax. | Gaofei Shen, Afra Alishahi, Arianna Bisazza, Grzegorz Chrupala |
| 2022 | EAMT | InDeep $\times$ NMT: Empowering Human Translators via Interpretable Neural Machine Translation. | Gabriele Sarti, Arianna Bisazza |
| 2022 | EMNLP | DivEMT: Neural Machine Translation Post-Editing Effort Across Typologically Diverse Languages. | Gabriele Sarti, Arianna Bisazza, Ana Guerberof Arenas, Antonio Toral |
| 2022 | EMNLP | Hyper-X: A Unified Hypernetwork for Multi-Task Multilingual Transfer. | Ahmet stn, Arianna Bisazza, Gosse Bouma, Gertjan van Noord, Sebastian Ruder |
| 2022 | LREC | Evaluating Pre-training Objectives for Low-Resource Translation into Morphologically Rich Languages. | Prajit Dhar, Arianna Bisazza, Gertjan van Noord |
| 2021 | ACL | Input Representations for Parsing Discourse Representation Structures: Comparing English with Chinese. | Chunliu Wang, Rik van Noord, Arianna Bisazza, Johan Bos |
| 2021 | EMNLP | The Effect of Efficient Messaging and Input Variability on Neural-Agent Iterated Language Learning. | Yuchen Lian, Arianna Bisazza, Tessa Verhoef |
| 2020 | EMNLP | UDapter: Language Adaptation for Truly Universal Dependency Parsing. | Ahmet stn, Arianna Bisazza, Gosse Bouma, Gertjan van Noord |
| 2019 | CogSci | Compositionality in emerging multi-agent languages: Marrying Language Evolution and Natural Language Processing. | Kees Sommer, Jae Perris, Arianna Bisazza, Tessa Verhoef |
| 2018 | AMTA | Keynote: Unveiling the Linguistic Weaknesses of Neural MT. | Arianna Bisazza |
| 2018 | EMNLP | The Lazy Encoder: A Fine-Grained Analysis of the Role of Morphology in Neural Machine Translation. | Arianna Bisazza, Clara Tump |
| 2018 | EMNLP | Does Syntactic Knowledge in Multilingual Language Models Transfer Across Languages? | Prajit Dhar, Arianna Bisazza |
| 2018 | EMNLP | The importance of Being Recurrent for Modeling Hierarchical Structure. | Ke M. Tran, Arianna Bisazza, Christof Monz |
| 2018 | LREC | Examining the Tip of the Iceberg: A Data Set for Idiom Translation. | Marzieh Fadaee, Arianna Bisazza, Christof Monz |
| 2018 | LREC | Evaluation of Machine Translation Performance Across Multiple Genres and Languages. | Marlies van der Wees, Arianna Bisazza, Christof Monz |
| 2017 | ACL | Learning Topic-Sensitive Word Representations. | Marzieh Fadaee, Arianna Bisazza, Christof Monz |
| 2017 | ACL | Data Augmentation for Low-Resource Neural Machine Translation. | Marzieh Fadaee, Arianna Bisazza, Christof Monz |
| 2017 | EMNLP | Dynamic Data Selection for Neural Machine Translation. | Marlies van der Wees, Arianna Bisazza, Christof Monz |
| 2016 | COLING | Measuring the Effect of Conversational Aspects on Machine Translation Quality. | Marlies van der Wees, Arianna Bisazza, Christof Monz |
| 2016 | EMNLP | Neural versus Phrase-Based Machine Translation Quality: a Case Study. | Luisa Bentivogli, Arianna Bisazza, Mauro Cettolo, Marcello Federico |
| 2016 | NAACL | Recurrent Memory Networks for Language Modeling. | Ke M. Tran, Arianna Bisazza, Christof Monz |
| 2015 | ACL | What's in a Domain? Analyzing Genre and Topic Differences in Statistical Machine Translation. | Marlies van der Wees, Arianna Bisazza, Wouter Weerkamp, Christof Monz |
| 2014 | COLING | Class-Based Language Modeling for Translating into Morphologically Rich Languages. | Arianna Bisazza, Christof Monz |
| 2014 | EMNLP | Word Translation Prediction for Morphologically Rich Languages with Bilingual Neural Networks. | Ke M. Tran, Arianna Bisazza, Christof Monz |
| 2012 | ACL | Modified Distortion Matrices for Phrase-Based Statistical Machine Translation. | Arianna Bisazza, Marcello Federico |
| 2012 | EACL | Cutting the Long Tail: Hybrid Language Models for Translation Style Adaptation. | Arianna Bisazza, Marcello Federico |