| 2024 | ACL | LM Transparency Tool: Interactive Tool for Analyzing Transformer Language Models. | Igor Tufanov, Karen Hambardzumyan, Javier Ferrando, Elena Voita |
| 2024 | ACL | Neurons in Large Language Models: Dead, N-gram, Positional. | Elena Voita, Javier Ferrando, Christoforos Nalmpantis |
| 2024 | EMNLP | Information Flow Routes: Automatically Interpreting Language Models at Scale. | Javier Ferrando, Elena Voita |
| 2024 | NAACL | Know When To Stop: A Study of Semantic Drift in Text Generation. | Ava Spataru, Eric Hambro, Elena Voita, Nicola Cancedda |
| 2023 | ACL | Detecting and Mitigating Hallucinations in Machine Translation: Model Internal Workings Alone Do Well, Sentence Similarity Even Better. | David Dale, Elena Voita, Loc Barrault, Marta R. Costa-juss |
| 2023 | EACL | Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine Translation. | Nuno Miguel Guerreiro, Elena Voita, Andr F. T. Martins |
| 2023 | EMNLP | HalOmi: A Manually Annotated Benchmark for Multilingual Hallucination and Omission Detection in Machine Translation. | David Dale, Elena Voita, Janice Lam, Prangthip Hansanti, Christophe Ropers, Elahe Kalbassi, Cynthia Gao, Loc Barrault, Marta R. Costa-juss |
| 2021 | ACL | Analyzing the Source and Target Contributions to Predictions in Neural Machine Translation. | Elena Voita, Rico Sennrich, Ivan Titov |
| 2021 | EMNLP | Language Modeling, Lexical Translation, Reordering: The Training Process of NMT through the Lens of Classical SMT. | Elena Voita, Rico Sennrich, Ivan Titov |
| 2020 | ACL | BPE-Dropout: Simple and Effective Subword Regularization. | Ivan Provilkov, Dmitrii Emelianenko, Elena Voita |
| 2020 | EMNLP | Embedding Words in Non-Vector Space with Unsupervised Graph Learning. | Max Ryabinin, Sergei Popov, Liudmila Prokhorenkova, Elena Voita |
| 2020 | EMNLP | Information-Theoretic Probing with Minimum Description Length. | Elena Voita, Ivan Titov |
| 2019 | ACL | When a Good Translation is Wrong in Context: Context-Aware Machine Translation Improves on Deixis, Ellipsis, and Lexical Cohesion. | Elena Voita, Rico Sennrich, Ivan Titov |
| 2019 | ACL | Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned. | Elena Voita, David Talbot, Fedor Moiseev, Rico Sennrich, Ivan Titov |
| 2019 | EMNLP | Context-Aware Monolingual Repair for Neural Machine Translation. | Elena Voita, Rico Sennrich, Ivan Titov |
| 2019 | EMNLP | The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives. | Elena Voita, Rico Sennrich, Ivan Titov |
| 2018 | ACL | Context-Aware Neural Machine Translation Learns Anaphora Resolution. | Elena Voita, Pavel Serdyukov, Rico Sennrich, Ivan Titov |