---
title: "Ivan Titov — all works — Elamur Research"
description: "All 39 works of Ivan Titov in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/ivan-titov/works/"
---
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# Ivan Titov — all works

39 works · [← Ivan Titov](https://md.research.elamur.ai/free/en/authors/ivan-titov/)

1. **[Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned](https://md.research.elamur.ai/free/en/papers/voita-2019-analyzing-multi-head-self-attention/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Elena Voita, David Talbot, Fedor Moiseev, et al.*2019 · 1,535 citations*
2. **[Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling](https://md.research.elamur.ai/free/en/papers/marcheggiani-2017-encoding-sentences-graph-convolutional-networks/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Diego Marcheggiani, Ivan Titov*2017 · 1,106 citations*
3. **[A Joint Model of Text and Aspect Ratings for Sentiment Summarization](https://md.research.elamur.ai/free/en/papers/titov-2008-joint-model-text-aspect-ratings/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ivan Titov, Ryan McDonald*2008 · 732 citations*
4. **[Modeling Relational Data with Graph Convolutional Networks ↗](https://arxiv.org/abs/1703.06103) arXiv:1703.06103 · no summary yet**Michael Schlichtkrull et al.*2017 · 669 citations*
5. **[Inducing Crosslingual Distributed Representations of Words](https://md.research.elamur.ai/free/en/papers/klementiev-2012-inducing-crosslingual-distributed-representations-words/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Alexandre Klementiev, Ivan Titov, Binod Bhattarai*2012 · 513 citations*
6. **[Editing Factual Knowledge in Language Models ↗](https://aclanthology.org/2021.emnlp-main.522/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Nicola De Cao, Wilker Aziz, Ivan Titov*2021 · 486 citations*
7. **[Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation](https://md.research.elamur.ai/free/en/papers/zhang-2020-improving-massively-multilingual-neural-machine/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Biao Zhang, Philip Williams, Ivan Titov, et al.*2020 · 477 citations*
8. **[Context-Aware Neural Machine Translation Learns Anaphora Resolution](https://md.research.elamur.ai/free/en/papers/voita-2018-context-aware-neural-machine-translation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Elena Voita, Pavel Serdyukov, Rico Sennrich, et al.*2018 · 449 citations*
9. **[Information-Theoretic Probing with Minimum Description Length](https://md.research.elamur.ai/free/en/papers/voita-2020-information-theoretic-probing-minimum-description/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Elena Voita, Ivan Titov*2020 · 345 citations*
10. **[When a Good Translation is Wrong in Context: Context-Aware Machine Translation Improves on Deixis, Ellipsis, and Lexical Cohesion](https://md.research.elamur.ai/free/en/papers/voita-2019-when-good-translation-is-wrong/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Elena Voita, Rico Sennrich, Ivan Titov*2019 · 323 citations*
11. **[Improving Entity Linking by Modeling Latent Relations between Mentions ↗](https://aclanthology.org/P18-1148/) Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Phong Le, Ivan Titov*2018 · 288 citations*
12. **[The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives](https://md.research.elamur.ai/free/en/papers/voita-2019-bottom-up-evolution-representations-transformer/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Elena Voita, Rico Sennrich, Ivan Titov*2019 · 225 citations*
13. **[Graph Convolutional Encoders for Syntax-aware Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/bastings-2017-graph-convolutional-encoders-syntax-aware/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jasmijn Bastings, Ivan Titov, Wilker Aziz, et al.*2017 · 194 citations*
14. **[Unsupervised Opinion Summarization as Copycat-Review Generation](https://md.research.elamur.ai/free/en/papers/brazinskas-2020-unsupervised-opinion-summarization-as-copycat/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Arthur Bražinskas, Mirella Lapata, Ivan Titov*2020 · 173 citations*
15. **[Context-Aware Monolingual Repair for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/voita-2019-context-aware-monolingual-repair-neural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Elena Voita, Rico Sennrich, Ivan Titov*2019 · 161 citations*
16. **[Question Answering by Reasoning Across Documents with Graph Convolutional Networks](https://md.research.elamur.ai/free/en/papers/cao-2019-question-answering-reasoning-across-documents/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Nicola De Cao, Wilker Aziz, Ivan Titov*2019 · 138 citations*
17. **[Interpretable Neural Predictions with Differentiable Binary Variables](https://md.research.elamur.ai/free/en/papers/bastings-2019-interpretable-neural-predictions-differentiable-binary/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jasmijn Bastings, Wilker Aziz, Ivan Titov*2019 · 135 citations*
18. **[Single Document Summarization as Tree Induction ↗](https://aclanthology.org/N19-1173/) Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yet**Yang Liu, Ivan Titov, Mirella Lapata*2019 · 127 citations*
19. **[Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention ↗](https://aclanthology.org/D19-1083/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Biao Zhang, Ivan Titov, Rico Sennrich*2019 · 119 citations*
20. **[Analyzing the Source and Target Contributions to Predictions in Neural Machine Translation ↗](https://aclanthology.org/2021.acl-long.91/) Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yet**Elena Voita, Rico Sennrich, Ivan Titov*2021 · 113 citations*
21. **[Few-Shot Learning for Opinion Summarization ↗](https://aclanthology.org/2020.emnlp-main.337/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Arthur Bražinskas, Mirella Lapata, Ivan Titov*2020 · 109 citations*
22. **[Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/dankers-2022-can-transformer-be-too-compositional/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Verna Dankers, Christopher Lucas, Ivan Titov*2022 · 106 citations*
23. **[How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking ↗](https://aclanthology.org/2020.emnlp-main.262/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Nicola De Cao et al.*2020 · 102 citations*
24. **[Multilingual Joint Parsing of Syntactic and Semantic Dependencies with a Latent Variable Model](https://md.research.elamur.ai/free/en/papers/henderson-2013-multilingual-joint-parsing-syntactic-semantic/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**James Henderson, Paola Merlo, Ivan Titov, et al.*2013 · 97 citations*
25. **[AMR Parsing as Graph Prediction with Latent Alignment ↗](https://aclanthology.org/P18-1037/) Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Chunchuan Lyu, Ivan Titov*2018 · 96 citations*
26. **[Meta-Learning for Domain Generalization in Semantic Parsing ↗](https://aclanthology.org/2021.naacl-main.33/) Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Bailin Wang, Mirella Lapata, Ivan Titov*2021 · 93 citations*
27. [**A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role Labeling**Diego Marcheggiani, Anton Frolov, Ivan Titov*English · 87 citations*](https://md.research.elamur.ai/free/en/papers/marcheggiani-2017-simple-accurate-syntax-agnostic-neural/)
28. **[Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks ↗](https://aclanthology.org/N18-2078/) Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers) · no summary yet**Diego Marcheggiani, Jasmijn Bastings, Ivan Titov*2018 · 74 citations*
29. **[Boosting Entity Linking Performance by Leveraging Unlabeled Documents](https://md.research.elamur.ai/free/en/papers/le-2019-boosting-entity-linking-performance-leveraging/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Phong Le, Ivan Titov*2019 · 61 citations*
30. **[Unsupervised rank aggregation with domain-specific expertise ↗](https://openalex.org/W1934555896) International Joint Conference on Artificial Intelligence · no summary yet**Alexandre Klementiev et al.*2009 · 40 citations*
31. **[Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models](https://md.research.elamur.ai/free/en/papers/qiu-2025-demons-detail-implementing-load-balancing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zihan Qiu, Zeyu Huang, Bo Zheng, et al.*2025 · 21 citations*
32. **[A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing ↗](https://aclanthology.org/2021.emnlp-main.714/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Chunchuan Lyu, Shay B. Cohen, Ivan Titov*2021 · 20 citations*
33. **[Sequential Learning of Classifiers for Structured Prediction Problems ↗](https://openalex.org/W1902270342) no summary yet**Dan Roth, Kevin Small, Ivan S. Titov*2009 · 12 citations*
34. **[Hierarchical Phrase-Based Sequence-to-Sequence Learning ↗](https://aclanthology.org/2022.emnlp-main.563/) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yet**Bailin Wang et al.*2022 · 9 citations*
35. [**A Closer Look into the Robustness of Neural Dependency Parsers Using Better Adversarial Examples**Yuxuan Wang, Wanxiang Che, Ivan Titov, et al.*English · 8 citations*](https://md.research.elamur.ai/free/en/papers/wang-2021-closer-look-into-robustness-neural/)
36. **[Anthropomimetic Uncertainty: What Verbalized Uncertainty in Language Models is Missing](https://md.research.elamur.ai/free/en/papers/ulmer-2026-anthropomimetic-uncertainty-what-verbalized-uncertainty/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Dennis Ulmer, Alexandra Lorson, Ivan Titov, et al.*2026 · 4 citations*
37. **[Unsupervised Aggregation for Classification Problems with Large Numbers of Categories ↗](https://openalex.org/W2607344550) no summary yet**Ivan S. Titov et al.*2011 · 3 citations*
38. **[Finding Culture-Sensitive Neurons in Vision-Language Models](https://md.research.elamur.ai/free/en/papers/zhao-2026-finding-culture-sensitive-neurons-vision/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Xiutian Zhao, Rochelle Choenni, Rohit Saxena, et al.*2026 · 2 citations*
39. **[Controlling What You Share: Assessing Language Model Adherence to Privacy Preferences](https://md.research.elamur.ai/free/en/papers/ramirez-2026-controlling-what-you-share-assessing/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Guillem Ramírez, Alexandra Birch, Ivan Titov*2026*
