Ivan Titov

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 161

Top Venues

CoRR

ACL (1)

EMNLP (1)

EMNLP/IJCNLP (1)

Publications

Masaru Isonuma, Ivan Titov
Unlearning Reveals the Influential Training Data of Language Models. CoRR (2024)
Guillem Ramírez, Alexandra Birch, Ivan Titov
Optimising Calls to Large Language Models with Uncertainty-Based Two-Tier Selection. CoRR (2024)
Ivan Titov
Extending the Limit Theorem of Barmpalias and Lewis-Pye to all reals. CoRR (2024)
Verna Dankers, Ivan Titov
Generalisation First, Memorisation Second? Memorisation Localisation for Natural Language Classification Tasks. ACL (Findings) (2024)
Matthias Lindemann, Alexander Koller, Ivan Titov
SIP: Injecting a Structural Inductive Bias into a Seq2Seq Model by Simulation. ACL (1) (2024)
Pedro Ferreira, Wilker Aziz, Ivan Titov
Explanation Regularisation through the Lens of Attributions. CoRR (2024)
Masaru Isonuma, Ivan Titov
Unlearning Traces the Influential Training Data of Language Models. ACL (1) (2024)
Matthias Lindemann, Alexander Koller, Ivan Titov
Strengthening Structural Inductive Biases by Pre-training to Perform Syntactic Transformations. CoRR (2024)
Guillem Ramírez, Matthias Lindemann, Alexandra Birch, Ivan Titov
Cache & Distil: Optimising API Calls to Large Language Models. ACL (Findings) (2024)
Andrea Schioppa, Katja Filippova, Ivan Titov, Polina Zablotskaia
Theoretical and Practical Perspectives on what Influence Functions Do. CoRR (2023)
Verna Dankers, Ivan Titov
Recursive Neural Networks with Bottlenecks Diagnose (Non-)Compositionality. CoRR (2023)
Matthias Lindemann, Alexander Koller, Ivan Titov
Compositional Generalization without Trees using Multiset Tagging and Latent Permutations. ACL (1) (2023)
Maike Züfle, Verna Dankers, Ivan Titov
Latent Feature-based Data Splits to Improve Generalisation Evaluation: A Hate Speech Detection Case Study. CoRR (2023)
Xinnuo Xu, Ivan Titov, Mirella Lapata
Compositional Generalization for Data-to-Text Generation. EMNLP (Findings) (2023)
Verna Dankers, Ivan Titov, Dieuwke Hupkes
Memorisation Cartography: Mapping out the Memorisation-Generalisation Continuum in Neural Machine Translation. EMNLP (2023)
Verna Dankers, Ivan Titov, Dieuwke Hupkes
Memorisation Cartography: Mapping out the Memorisation-Generalisation Continuum in Neural Machine Translation. CoRR (2023)
Danis Alukaev, Semen Kiselev, Ilya Pershin, Bulat Ibragimov, Vladimir Ivanov, Alexey Kornaev, Ivan Titov
Cross-Modal Conceptualization in Bottleneck Models. CoRR (2023)
Matthias Lindemann, Alexander Koller, Ivan Titov
Injecting a Structural Inductive Bias into a Seq2Seq Model by Simulation. CoRR (2023)
Matthias Lindemann, Alexander Koller, Ivan Titov
Compositional Generalization without Trees using Multiset Tagging and Latent Permutations. CoRR (2023)
Victor Prokhorov, Ivan Titov, N. Siddharth
Autoencoding Conditional Neural Processes for Representation Learning. CoRR (2023)
Danis Alukaev, Semen Kiselev, Ilya Pershin, Bulat Ibragimov, Vladimir Ivanov, Alexey Kornaev, Ivan Titov
Cross-Modal Conceptualization in Bottleneck Models. EMNLP (2023)
Max Müller-Eberstein, Rob van der Goot, Barbara Plank, Ivan Titov
Subspace Chronicles: How Linguistic Information Emerges, Shifts and Interacts during Language Model Training. CoRR (2023)
Guillem Ramírez, Matthias Lindemann, Alexandra Birch, Ivan Titov
Cache & Distil: Optimising API Calls to Large Language Models. CoRR (2023)
Yanpeng Zhao, Ivan Titov
On the Transferability of Visually Grounded PCFGs. CoRR (2023)
Andrea Schioppa, Katja Filippova, Ivan Titov, Polina Zablotskaia
Theoretical and Practical Perspectives on what Influence Functions Do. NeurIPS (2023)
Yanpeng Zhao, Ivan Titov
On the Transferability of Visually Grounded PCFGs. EMNLP (Findings) (2023)
Matthias Lindemann, Alexander Koller, Ivan Titov
Compositional Generalisation with Structured Reordering and Fertility Layers. EACL (2023)
Max Müller-Eberstein, Rob van der Goot, Barbara Plank, Ivan Titov
Subspace Chronicles: How Linguistic Information Emerges, Shifts and Interacts during Language Model Training. EMNLP (Findings) (2023)
Xinnuo Xu, Ivan Titov, Mirella Lapata
Compositional Generalization for Data-to-Text Generation. CoRR (2023)
Matthias Lindemann, Alexander Koller, Ivan Titov
Compositional Generalisation with Structured Reordering and Fertility Layers. CoRR (2022)
Verna Dankers, Christopher G. Lucas, Ivan Titov
Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation. ACL (1) (2022)
Bailin Wang, Ivan Titov, Jacob Andreas, Yoon Kim
Hierarchical Phrase-based Sequence-to-Sequence Learning. CoRR (2022)
Verna Dankers, Ivan Titov
Recursive Neural Networks with Bottlenecks Diagnose (Non-)Compositionality. EMNLP (Findings) (2022)
Verna Dankers, Christopher G. Lucas, Ivan Titov
Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation. CoRR (2022)
Bailin Wang, Ivan Titov, Jacob Andreas, Yoon Kim
Hierarchical Phrase-Based Sequence-to-Sequence Learning. EMNLP (2022)
Nicola De Cao, Leon Schmid, Dieuwke Hupkes, Ivan Titov
Sparse Interventions in Language Models with Differentiable Masking. BlackboxNLP@EMNLP (2022)
Biao Zhang, Ivan Titov, Rico Sennrich
Sparse Attention with Linear Units. EMNLP (1) (2021)
Christos Baziotis, Ivan Titov, Alexandra Birch, Barry Haddow
Exploring Unsupervised Pretraining Objectives for Machine Translation. CoRR (2021)
Nicola De Cao, Wilker Aziz, Ivan Titov
Editing Factual Knowledge in Language Models. CoRR (2021)
Chunchuan Lyu, Shay B. Cohen, Ivan Titov
A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing. EMNLP (1) (2021)
Michael Sejr Schlichtkrull, Nicola De Cao, Ivan Titov
Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking. ICLR (2021)
Bailin Wang, Mirella Lapata, Ivan Titov
Structured Reordering for Modeling Latent Alignments in Sequence Transduction. CoRR (2021)
Biao Zhang, Ivan Titov, Rico Sennrich
On Sparsifying Encoder Outputs in Sequence-to-Sequence Models. ACL/IJCNLP (Findings) (2021)
Elena Voita, Rico Sennrich, Ivan Titov
Language Modeling, Lexical Translation, Reordering: The Training Process of NMT through the Lens of Classical SMT. CoRR (2021)
Arthur Brazinskas, Mirella Lapata, Ivan Titov
Learning Opinion Summarizers by Selecting Informative Reviews. EMNLP (1) (2021)
Arthur Brazinskas, Mirella Lapata, Ivan Titov
Learning Opinion Summarizers by Selecting Informative Reviews. CoRR (2021)
Bailin Wang, Mirella Lapata, Ivan Titov
Learning from Executions for Semantic Parsing. NAACL-HLT (2021)
Yuxuan Wang, Wanxiang Che, Ivan Titov, Shay B. Cohen, Zhilin Lei, Ting Liu
A Closer Look into the Robustness of Neural Dependency Parsers Using Better Adversarial Examples. ACL/IJCNLP (Findings) (2021)
Nicola De Cao, Wilker Aziz, Ivan Titov
Editing Factual Knowledge in Language Models. EMNLP (1) (2021)
Henry Conklin, Bailin Wang, Kenny Smith, Ivan Titov
Meta-Learning to Compositionally Generalize. CoRR (2021)
Nicola De Cao, Wilker Aziz, Ivan Titov
Highly Parallel Autoregressive Entity Linking with Discriminative Correction. CoRR (2021)
Biao Zhang, Ivan Titov, Rico Sennrich
Sparse Attention with Linear Units. CoRR (2021)
Nicola De Cao, Leon Schmid, Dieuwke Hupkes, Ivan Titov
Sparse Interventions in Language Models with Differentiable Masking. CoRR (2021)
Christos Baziotis, Ivan Titov, Alexandra Birch, Barry Haddow
Exploring Unsupervised Pretraining Objectives for Machine Translation. ACL/IJCNLP (Findings) (2021)
Nicola De Cao, Wilker Aziz, Ivan Titov
Highly Parallel Autoregressive Entity Linking with Discriminative Correction. EMNLP (1) (2021)
Elena Voita, Rico Sennrich, Ivan Titov
Analyzing the Source and Target Contributions to Predictions in Neural Machine Translation. ACL/IJCNLP (1) (2021)
Yanpeng Zhao, Ivan Titov
An Empirical Study of Compound PCFGs. CoRR (2021)
Bailin Wang, Mirella Lapata, Ivan Titov
Learning from Executions for Semantic Parsing. CoRR (2021)
Henry Conklin, Bailin Wang, Kenny Smith, Ivan Titov
Meta-Learning to Compositionally Generalize. ACL/IJCNLP (1) (2021)
Biao Zhang, Ivan Titov, Barry Haddow, Rico Sennrich
Beyond Sentence-Level End-to-End Speech Translation: Context Helps. ACL/IJCNLP (1) (2021)
Bailin Wang, Mirella Lapata, Ivan Titov
Structured Reordering for Modeling Latent Alignments in Sequence Transduction. NeurIPS (2021)
Bailin Wang, Mirella Lapata, Ivan Titov
Meta-Learning for Domain Generalization in Semantic Parsing. NAACL-HLT (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)
Bailin Wang, Mirella Lapata, Ivan Titov
Meta-Learning for Domain Generalization in Semantic Parsing. CoRR (2020)
Zhifeng Hu, Serhii Havrylov, Ivan Titov, Shay B. Cohen
Obfuscation for Privacy-preserving Syntactic Parsing. IWPT 2020 (2020)
Biao Zhang, Philip Williams, Ivan Titov, Rico Sennrich
Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation. ACL (2020)
Arthur Brazinskas, Mirella Lapata, Ivan Titov
Few-Shot Learning for Opinion Summarization. EMNLP (1) (2020)
Elena Voita, Ivan Titov
Information-Theoretic Probing with Minimum Description Length. CoRR (2020)
Biao Zhang, Ivan Titov, Barry Haddow, Rico Sennrich
Adaptive Feature Selection for End-to-End Speech Translation. CoRR (2020)
Arthur Brazinskas, Mirella Lapata, Ivan Titov
Few-Shot Learning for Abstractive Multi-Document Opinion Summarization. CoRR (2020)
Nicola De Cao, Michael Sejr Schlichtkrull, Wilker Aziz, Ivan Titov
How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking. CoRR (2020)
Biao Zhang, Ivan Titov, Rico Sennrich
On Sparsifying Encoder Outputs in Sequence-to-Sequence Models. CoRR (2020)
Biao Zhang, Ivan Titov, Rico Sennrich
Fast Interleaved Bidirectional Sequence Generation. WMT@EMNLP (2020)
Serhii Havrylov, Ivan Titov
Preventing Posterior Collapse with Levenshtein Variational Autoencoder. CoRR (2020)
Michael Sejr Schlichtkrull, Nicola De Cao, Ivan Titov
Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking. CoRR (2020)
Biao Zhang, Ivan Titov, Rico Sennrich
Fast Interleaved Bidirectional Sequence Generation. CoRR (2020)
Denis Emelin, Ivan Titov, Rico Sennrich
Detecting Word Sense Disambiguation Biases in Machine Translation for Model-Agnostic Adversarial Attacks. EMNLP (1) (2020)
Yanpeng Zhao, Ivan Titov
Unsupervised Transfer of Semantic Role Models from Verbal to Nominal Domain. CoRR (2020)
Elena Voita, Ivan Titov
Information-Theoretic Probing with Minimum Description Length. EMNLP (1) (2020)
Nicola De Cao, Michael Sejr Schlichtkrull, Wilker Aziz, Ivan Titov
How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking. EMNLP (1) (2020)
Biao Zhang, Ivan Titov, Barry Haddow, Rico Sennrich
Adaptive Feature Selection for End-to-End Speech Translation. EMNLP (Findings) (2020)
Chunchuan Lyu, Shay B. Cohen, Ivan Titov
A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing. CoRR (2020)
Wolfgang Merkle, Ivan Titov
Speedable Left-c.e. Numbers. CSR (2020)
Biao Zhang, Philip Williams, Ivan Titov, Rico Sennrich
Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation. CoRR (2020)
Yanpeng Zhao, Ivan Titov
Visually Grounded Compound PCFGs. CoRR (2020)
Yanpeng Zhao, Ivan Titov
Visually Grounded Compound PCFGs. EMNLP (1) (2020)
Arthur Brazinskas, Mirella Lapata, Ivan Titov
Unsupervised Opinion Summarization as Copycat-Review Generation. ACL (2020)
Denis Emelin, Ivan Titov, Rico Sennrich
Detecting Word Sense Disambiguation Biases in Machine Translation for Model-Agnostic Adversarial Attacks. CoRR (2020)
Elena Voita, Rico Sennrich, Ivan Titov
Analyzing the Source and Target Contributions to Predictions in Neural Machine Translation. CoRR (2020)
Diego Marcheggiani, Ivan Titov
Graph Convolutions over Constituent Trees for Syntax-Aware Semantic Role Labeling. EMNLP (1) (2020)
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)
Jasmijn Bastings, Wilker Aziz, Ivan Titov
Interpretable Neural Predictions with Differentiable Binary Variables. ACL (1) (2019)
Chunchuan Lyu, Shay B. Cohen, Ivan Titov
Semantic Role Labeling with Iterative Structure Refinement. EMNLP/IJCNLP (1) (2019)
Denis Emelin, Ivan Titov, Rico Sennrich
Widening the Representation Bottleneck in Neural Machine Translation with Lexical Shortcuts. WMT (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. CoRR (2019)
Chunchuan Lyu, Shay B. Cohen, Ivan Titov
Semantic Role Labeling with Iterative Structure Refinement. CoRR (2019)
Yang Liu, Ivan Titov, Mirella Lapata
Single Document Summarization as Tree Induction. NAACL-HLT (1) (2019)
Bailin Wang, Ivan Titov, Mirella Lapata
Learning Semantic Parsers from Denotations with Latent Structured Alignments and Abstract Programs. CoRR (2019)
Nicola De Cao, Wilker Aziz, Ivan Titov
Block Neural Autoregressive Flow. UAI (2019)
Caio Corro, Ivan Titov
Differentiable Perturb-and-Parse: Semi-Supervised Parsing with a Structured Variational Autoencoder. ICLR (Poster) (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ivan Titov