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Elena Voita
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Conference and Workshop Papers
- 2024
- [c17]Elena Voita, Javier Ferrando, Christoforos Nalmpantis:
Neurons in Large Language Models: Dead, N-gram, Positional. ACL (Findings) 2024: 1288-1301 - [c16]Ava Spataru, Eric Hambro, Elena Voita, Nicola Cancedda:
Know When To Stop: A Study of Semantic Drift in Text Generation. NAACL-HLT 2024: 3656-3671 - 2023
- [c15]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: 36-50 - [c14]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: 1059-1075 - [c13]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: 638-653 - 2021
- [c12]Elena Voita, Rico Sennrich, Ivan Titov:
Analyzing the Source and Target Contributions to Predictions in Neural Machine Translation. ACL/IJCNLP (1) 2021: 1126-1140 - [c11]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: 8478-8491 - 2020
- [c10]Ivan Provilkov, Dmitrii Emelianenko, Elena Voita:
BPE-Dropout: Simple and Effective Subword Regularization. ACL 2020: 1882-1892 - [c9]Elena Voita, Ivan Titov:
Information-Theoretic Probing with Minimum Description Length. EMNLP (1) 2020: 183-196 - [c8]Max Ryabinin, Sergei Popov, Liudmila Prokhorenkova, Elena Voita:
Embedding Words in Non-Vector Space with Unsupervised Graph Learning. EMNLP (1) 2020: 7317-7331 - 2019
- [c7]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: 1198-1212 - [c6]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: 5797-5808 - [c5]Elena Voita, Rico Sennrich, Ivan Titov:
Context-Aware Monolingual Repair for Neural Machine Translation. EMNLP/IJCNLP (1) 2019: 877-886 - [c4]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: 4395-4405 - [c3]Dmitrii Emelianenko, Elena Voita, Pavel Serdyukov:
Sequence Modeling with Unconstrained Generation Order. NeurIPS 2019: 7698-7709 - 2018
- [c2]Elena Voita, Pavel Serdyukov, Rico Sennrich, Ivan Titov:
Context-Aware Neural Machine Translation Learns Anaphora Resolution. ACL (1) 2018: 1264-1274 - [c1]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: 61-72
Informal and Other Publications
- 2024
- [i19]Javier Ferrando, Elena Voita:
Information Flow Routes: Automatically Interpreting Language Models at Scale. CoRR abs/2403.00824 (2024) - [i18]Ava Spataru, Eric Hambro, Elena Voita, Nicola Cancedda:
Know When To Stop: A Study of Semantic Drift in Text Generation. CoRR abs/2404.05411 (2024) - [i17]Igor Tufanov, Karen Hambardzumyan, Javier Ferrando, Elena Voita:
LM Transparency Tool: Interactive Tool for Analyzing Transformer Language Models. CoRR abs/2404.07004 (2024) - 2023
- [i16]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 abs/2305.11746 (2023) - [i15]Elena Voita, Javier Ferrando, Christoforos Nalmpantis:
Neurons in Large Language Models: Dead, N-gram, Positional. CoRR abs/2309.04827 (2023) - 2022
- [i14]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 abs/2208.05309 (2022) - [i13]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 abs/2212.08597 (2022) - 2021
- [i12]Elena Voita, Rico Sennrich, Ivan Titov:
Language Modeling, Lexical Translation, Reordering: The Training Process of NMT through the Lens of Classical SMT. CoRR abs/2109.01396 (2021) - 2020
- [i11]Elena Voita, Ivan Titov:
Information-Theoretic Probing with Minimum Description Length. CoRR abs/2003.12298 (2020) - [i10]Max Ryabinin, Sergei Popov, Liudmila Prokhorenkova, Elena Voita:
Embedding Words in Non-Vector Space with Unsupervised Graph Learning. CoRR abs/2010.02598 (2020) - [i9]Elena Voita, Rico Sennrich, Ivan Titov:
Analyzing the Source and Target Contributions to Predictions in Neural Machine Translation. CoRR abs/2010.10907 (2020) - 2019
- [i8]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 abs/1905.05979 (2019) - [i7]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 abs/1905.09418 (2019) - [i6]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 abs/1909.01380 (2019) - [i5]Elena Voita, Rico Sennrich, Ivan Titov:
Context-Aware Monolingual Repair for Neural Machine Translation. CoRR abs/1909.01383 (2019) - [i4]Ivan Provilkov, Dmitrii Emelianenko, Elena Voita:
BPE-Dropout: Simple and Effective Subword Regularization. CoRR abs/1910.13267 (2019) - [i3]Dmitrii Emelianenko, Elena Voita, Pavel Serdyukov:
Sequence Modeling with Unconstrained Generation Order. CoRR abs/1911.00176 (2019) - 2018
- [i2]Elena Voita, Pavel Serdyukov, Rico Sennrich, Ivan Titov:
Context-Aware Neural Machine Translation Learns Anaphora Resolution. CoRR abs/1805.10163 (2018) - [i1]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 abs/1810.02268 (2018)
Coauthor Index
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last updated on 2024-09-26 00:57 CEST by the dblp team
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