Elena Voita

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 36

Top Topics

Machine Translation

Manually Annotated

Training Process

Top Venues

EMNLP/IJCNLP (1)

Publications

Ava Spataru, Eric Hambro, Elena Voita, Nicola Cancedda
Know When To Stop: A Study of Semantic Drift in Text Generation. CoRR (2024)
Elena Voita, Javier Ferrando, Christoforos Nalmpantis
Neurons in Large Language Models: Dead, N-gram, Positional. ACL (Findings) (2024)
Igor Tufanov, Karen Hambardzumyan, Javier Ferrando, Elena Voita
LM Transparency Tool: Interactive Tool for Analyzing Transformer Language Models. CoRR (2024)
Ava Spataru, Eric Hambro, Elena Voita, Nicola Cancedda
Know When To Stop: A Study of Semantic Drift in Text Generation. NAACL-HLT (2024)
Javier Ferrando, Elena Voita
Information Flow Routes: Automatically Interpreting Language Models at Scale. CoRR (2024)
David Dale, Elena Voita, Janice Lam, Prangthip Hansanti, Christophe Ropers, Elahe Kalbassi, Cynthia Gao, Loïc Barrault, Marta R. Costa-jussà
HalOmi: A Manually Annotated Benchmark for Multilingual Hallucination and Omission Detection in Machine Translation. CoRR (2023)
Nuno Miguel Guerreiro, Elena Voita, André F. T. Martins
Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine Translation. EACL (2023)
Elena Voita, Javier Ferrando, Christoforos Nalmpantis
Neurons in Large Language Models: Dead, N-gram, Positional. CoRR (2023)
David Dale, Elena Voita, Janice Lam, Prangthip Hansanti, Christophe Ropers, Elahe Kalbassi, Cynthia Gao, Loïc Barrault, Marta R. Costa-jussà
HalOmi: A Manually Annotated Benchmark for Multilingual Hallucination and Omission Detection in Machine Translation. EMNLP (2023)
David Dale, Elena Voita, Loïc Barrault, Marta R. Costa-jussà
Detecting and Mitigating Hallucinations in Machine Translation: Model Internal Workings Alone Do Well, Sentence Similarity Even Better. ACL (1) (2023)
David Dale, Elena Voita, Loïc Barrault, Marta R. Costa-jussà
Detecting and Mitigating Hallucinations in Machine Translation: Model Internal Workings Alone Do Well, Sentence Similarity Even Better. CoRR (2022)
Nuno Miguel Guerreiro, Elena Voita, André F. T. Martins
Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine Translation. CoRR (2022)
Elena Voita, Rico Sennrich, Ivan Titov
Language Modeling, Lexical Translation, Reordering: The Training Process of NMT through the Lens of Classical SMT. CoRR (2021)
Elena Voita, Rico Sennrich, Ivan Titov
Analyzing the Source and Target Contributions to Predictions in Neural Machine Translation. ACL/IJCNLP (1) (2021)
Elena Voita, Rico Sennrich, Ivan Titov
Language Modeling, Lexical Translation, Reordering: The Training Process of NMT through the Lens of Classical SMT. EMNLP (1) (2021)
Elena Voita, Ivan Titov
Information-Theoretic Probing with Minimum Description Length. CoRR (2020)
Ivan Provilkov, Dmitrii Emelianenko, Elena Voita
BPE-Dropout: Simple and Effective Subword Regularization. ACL (2020)
Elena Voita, Ivan Titov
Information-Theoretic Probing with Minimum Description Length. EMNLP (1) (2020)
Max Ryabinin, Sergei Popov, Liudmila Prokhorenkova, Elena Voita
Embedding Words in Non-Vector Space with Unsupervised Graph Learning. CoRR (2020)
Max Ryabinin, Sergei Popov, Liudmila Prokhorenkova, Elena Voita
Embedding Words in Non-Vector Space with Unsupervised Graph Learning. EMNLP (1) (2020)
Elena Voita, Rico Sennrich, Ivan Titov
Analyzing the Source and Target Contributions to Predictions in Neural Machine Translation. CoRR (2020)
Dmitrii Emelianenko, Elena Voita, Pavel Serdyukov
Sequence Modeling with Unconstrained Generation Order. CoRR (2019)
Elena Voita, David Talbot, Fedor Moiseev, Rico Sennrich, Ivan Titov
Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned. CoRR (2019)
Elena Voita, Rico Sennrich, Ivan Titov
The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives. CoRR (2019)
Dmitrii Emelianenko, Elena Voita, Pavel Serdyukov
Sequence Modeling with Unconstrained Generation Order. NeurIPS (2019)
Ivan Provilkov, Dmitrii Emelianenko, Elena Voita
BPE-Dropout: Simple and Effective Subword Regularization. CoRR (2019)
Elena Voita, David Talbot, Fedor Moiseev, Rico Sennrich, Ivan Titov
Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned. ACL (1) (2019)
Elena Voita, Rico Sennrich, Ivan Titov
The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives. EMNLP/IJCNLP (1) (2019)
Elena Voita, Rico Sennrich, Ivan Titov
When a Good Translation is Wrong in Context: Context-Aware Machine Translation Improves on Deixis, Ellipsis, and Lexical Cohesion. ACL (1) (2019)
Elena Voita, Rico Sennrich, Ivan Titov
Context-Aware Monolingual Repair for Neural Machine Translation. CoRR (2019)
Elena Voita, Rico Sennrich, Ivan Titov
Context-Aware Monolingual Repair for Neural Machine Translation. EMNLP/IJCNLP (1) (2019)
Elena Voita, Rico Sennrich, Ivan Titov
When a Good Translation is Wrong in Context: Context-Aware Machine Translation Improves on Deixis, Ellipsis, and Lexical Cohesion. CoRR (2019)
Elena Voita, Pavel Serdyukov, Rico Sennrich, Ivan Titov
Context-Aware Neural Machine Translation Learns Anaphora Resolution. ACL (1) (2018)
Mathias Müller, Annette Rios, Elena Voita, Rico Sennrich
A Large-Scale Test Set for the Evaluation of Context-Aware Pronoun Translation in Neural Machine Translation. WMT (2018)
Mathias Müller, Annette Rios, Elena Voita, Rico Sennrich
A Large-Scale Test Set for the Evaluation of Context-Aware Pronoun Translation in Neural Machine Translation. CoRR (2018)
Elena Voita, Pavel Serdyukov, Rico Sennrich, Ivan Titov
Context-Aware Neural Machine Translation Learns Anaphora Resolution. CoRR (2018)