Context-Aware Neural Machine Translation Learns Anaphora Resolution. - Elena Voita; Pavel Serdyukov; Rico Sennrich; Ivan Titov 001 (ACL (1), 2018)

A Large-Scale Test Set for the Evaluation of Context-Aware Pronoun Translation in Neural Machine Translation. - Mathias Müller 002; Annette Rios; Elena Voita; Rico Sennrich (WMT, 2018)

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 001 (ACL (1), 2019)

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 001 (ACL (1), 2019)

Context-Aware Monolingual Repair for Neural Machine Translation. - Elena Voita; Rico Sennrich; Ivan Titov 001 (EMNLP/IJCNLP (1), 2019)

The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives. - Elena Voita; Rico Sennrich; Ivan Titov 001 (EMNLP/IJCNLP (1), 2019)

Sequence Modeling with Unconstrained Generation Order. - Dmitrii Emelianenko; Elena Voita; Pavel Serdyukov (NeurIPS, 2019)

BPE-Dropout: Simple and Effective Subword Regularization. - Ivan Provilkov; Dmitrii Emelianenko; Elena Voita (ACL, 2020)

Embedding Words in Non-Vector Space with Unsupervised Graph Learning. - Max Ryabinin; Sergei Popov; Liudmila Prokhorenkova; Elena Voita (EMNLP (1), 2020)

Information-Theoretic Probing with Minimum Description Length. - Elena Voita; Ivan Titov 001 (EMNLP (1), 2020)

Analyzing the Source and Target Contributions to Predictions in Neural Machine Translation. - Elena Voita; Rico Sennrich; Ivan Titov 001 (ACL/IJCNLP (1), 2021)

Language Modeling, Lexical Translation, Reordering: The Training Process of NMT through the Lens of Classical SMT. - Elena Voita; Rico Sennrich; Ivan Titov 001 (EMNLP (1), 2021)

Detecting and Mitigating Hallucinations in Machine Translation: Model Internal Workings Alone Do Well, Sentence Similarity Even Better. - David Dale; Elena Voita; Loïc Barrault; Marta R. Costa-jussà (ACL (1), 2023)

Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine Translation. - Nuno Miguel Guerreiro; Elena Voita; André F. T. Martins (EACL, 2023)

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; Loïc Barrault; Marta R. Costa-jussà (EMNLP, 2023)

Neurons in Large Language Models: Dead, N-gram, Positional. - Elena Voita; Javier Ferrando; Christoforos Nalmpantis (ACL (Findings), 2024)

Information Flow Routes: Automatically Interpreting Language Models at Scale. - Javier Ferrando; Elena Voita (EMNLP, 2024)

Know When To Stop: A Study of Semantic Drift in Text Generation. - Ava Spataru; Eric Hambro; Elena Voita; Nicola Cancedda (NAACL-HLT, 2024)

LM Transparency Tool: Interactive Tool for Analyzing Transformer Language Models. - Igor Tufanov; Karen Hambardzumyan; Javier Ferrando; Elena Voita (CoRR, 2024)