Ivan Titov - RankMe

206 papers A* 27A 6B 12Journal 95Unranked 64

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Analyzing LLM Instruction Optimization for Tabular Fact Verification. EACL (Findings) Xiaotang Du, Giwon Hong, Wai-Chung Kwan, Rohit Saxena, Ivan Titov, Pasquale Minervini, Emily Allaway
2026	J	`jnl`	Analyzing LLM Instruction Optimization for Tabular Fact Verification. CoRR Xiaotang Du, Giwon Hong, Wai-Chung Kwan, Rohit Saxena, Ivan Titov, Pasquale Minervini, Emily Allaway
2026	—	`conf`	Finding Culture-Sensitive Neurons in Vision-Language Models. EACL (Volume 1: Long Papers) Xiutian Zhao, Rochelle Choenni, Rohit Saxena, Ivan Titov
2025	J	`jnl`	A Controllable Examination for Long-Context Language Models. CoRR Yijun Yang, Zeyu Huang, Wenhao Zhu, Zihan Qiu, Fei Yuan, Jeff Z. Pan, Ivan Titov
2025	J	`jnl`	Blending Supervised and Reinforcement Fine-Tuning with Prefix Sampling. CoRR Zeyu Huang, Tianhao Cheng, Zihan Qiu, Zili Wang, Yinghui Xu, Edoardo M. Ponti, Ivan Titov
2025	J	`jnl`	Clarification as Supervision: Reinforcement Learning for Vision-Language Interfaces. CoRR John Gkountouras, Ivan Titov
2025	J	`jnl`	Controlling What You Share: Assessing Language Model Adherence to Privacy Preferences. CoRR Guillem Ramírez, Alexandra Birch, Ivan Titov
2025	—	`conf`	Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models. ACL (1) Zihan Qiu, Zeyu Huang, Bo Zheng, Kaiyue Wen, Zekun Wang, Rui Men, Ivan Titov, Dayiheng Liu, Jingren Zhou, Junyang Lin
2025	J	`jnl`	Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models. CoRR Zihan Qiu, Zeyu Huang, Bo Zheng, Kaiyue Wen, Zekun Wang, Rui Men, Ivan Titov, Dayiheng Liu, Jingren Zhou, Junyang Lin
2025	—	`conf`	Enhancing Long Document Long Form Summarisation with Self-Planning. IJCNLP-AACL (Short Papers) Xiaotang Du, Rohit Saxena, Laura Perez-Beltrachini, Pasquale Minervini, Ivan Titov
2025	J	`jnl`	Enhancing Long Document Long Form Summarisation with Self-Planning. CoRR Xiaotang Du, Rohit Saxena, Laura Perez-Beltrachini, Pasquale Minervini, Ivan Titov
2025	B	`conf`	Explanation Regularisation through the Lens of Attributions. COLING Pedro Ferreira, Ivan Titov, Wilker Aziz
2025	J	`jnl`	Finding Culture-Sensitive Neurons in Vision-Language Models. CoRR Xiutian Zhao, Rochelle Choenni, Rohit Saxena, Ivan Titov
2025	A*	`conf`	Joint Localization and Activation Editing for Low-Resource Fine-Tuning. ICML Wen Lai, Alexander Fraser, Ivan Titov
2025	J	`jnl`	Joint Localization and Activation Editing for Low-Resource Fine-Tuning. CoRR Wen Lai, Alexander Fraser, Ivan Titov
2025	A*	`conf`	Language Agents Meet Causality - Bridging LLMs and Causal World Models. ICLR John Gkountouras, Matthias Lindemann, Phillip Lippe, Efstratios Gavves, Ivan Titov
2025	A*	`conf`	Layerwise Recurrent Router for Mixture-of-Experts. ICLR Zihan Qiu, Zeyu Huang, Shuang Cheng, Yizhi Zhou, Zili Wang, Ivan Titov, Jie Fu
2025	A*	`conf`	M-Wanda: Improving One-Shot Pruning for Multilingual LLMs. EMNLP Rochelle Choenni, Ivan Titov
2025	J	`jnl`	M-Wanda: Improving One-Shot Pruning for Multilingual LLMs. CoRR Rochelle Choenni, Ivan Titov
2025	A*	`conf`	Post-hoc Reward Calibration: A Case Study on Length Bias. ICLR Zeyu Huang, Zihan Qiu, Zili Wang, Edoardo M. Ponti, Ivan Titov
2025	J	`jnl`	Truthful or Fabricated? Using Causal Attribution to Mitigate Reward Hacking in Explanations. CoRR Pedro Ferreira, Wilker Aziz, Ivan Titov
2024	A*	`conf`	Autoencoding Conditional Neural Processes for Representation Learning. ICML Victor Prokhorov, Ivan Titov, N. Siddharth
2024	—	`conf`	Cache & Distil: Optimising API Calls to Large Language Models. ACL (Findings) Guillem Ramírez, Matthias Lindemann, Alexandra Birch, Ivan Titov
2024	J	`jnl`	Disentangling Textual and Acoustic Features of Neural Speech Representations. CoRR Hosein Mohebbi, Grzegorz Chrupala, Willem H. Zuidema, Afra Alishahi, Ivan Titov
2024	J	`jnl`	Explanation Regularisation through the Lens of Attributions. CoRR Pedro Ferreira, Wilker Aziz, Ivan Titov
2024	—	`conf`	Generalisation First, Memorisation Second? Memorisation Localisation for Natural Language Classification Tasks. ACL (Findings) Verna Dankers, Ivan Titov
2024	J	`jnl`	Generalisation First, Memorisation Second? Memorisation Localisation for Natural Language Classification Tasks. CoRR Verna Dankers, Ivan Titov
2024	J	`jnl`	Language Agents Meet Causality - Bridging LLMs and Causal World Models. CoRR John Gkountouras, Matthias Lindemann, Phillip Lippe, Efstratios Gavves, Ivan Titov
2024	J	`jnl`	Layerwise Recurrent Router for Mixture-of-Experts. CoRR Zihan Qiu, Zeyu Huang, Shuang Cheng, Yizhi Zhou, Zili Wang, Ivan Titov, Jie Fu
2024	J	`jnl`	Optimising Calls to Large Language Models with Uncertainty-Based Two-Tier Selection. CoRR Guillem Ramírez, Alexandra Birch, Ivan Titov
2024	J	`jnl`	Post-hoc Reward Calibration: A Case Study on Length Bias. CoRR Zeyu Huang, Zihan Qiu, Zili Wang, Edoardo M. Ponti, Ivan Titov
2024	—	`conf`	SIP: Injecting a Structural Inductive Bias into a Seq2Seq Model by Simulation. ACL (1) Matthias Lindemann, Alexander Koller, Ivan Titov
2024	A*	`conf`	Strengthening Structural Inductive Biases by Pre-training to Perform Syntactic Transformations. EMNLP Matthias Lindemann, Alexander Koller, Ivan Titov
2024	J	`jnl`	Strengthening Structural Inductive Biases by Pre-training to Perform Syntactic Transformations. CoRR Matthias Lindemann, Alexander Koller, Ivan Titov
2023	J	`jnl`	Autoencoding Conditional Neural Processes for Representation Learning. CoRR Victor Prokhorov, Ivan Titov, N. Siddharth
2023	J	`jnl`	Cache & Distil: Optimising API Calls to Large Language Models. CoRR Guillem Ramírez, Matthias Lindemann, Alexandra Birch, Ivan Titov
2023	A	`conf`	Compositional Generalisation with Structured Reordering and Fertility Layers. EACL Matthias Lindemann, Alexander Koller, Ivan Titov
2023	—	`conf`	Compositional Generalization for Data-to-Text Generation. EMNLP (Findings) Xinnuo Xu, Ivan Titov, Mirella Lapata
2023	J	`jnl`	Compositional Generalization for Data-to-Text Generation. CoRR Xinnuo Xu, Ivan Titov, Mirella Lapata
2023	—	`conf`	Compositional Generalization without Trees using Multiset Tagging and Latent Permutations. ACL (1) Matthias Lindemann, Alexander Koller, Ivan Titov
2023	J	`jnl`	Compositional Generalization without Trees using Multiset Tagging and Latent Permutations. CoRR Matthias Lindemann, Alexander Koller, Ivan Titov
2023	J	`jnl`	Injecting a Structural Inductive Bias into a Seq2Seq Model by Simulation. CoRR Matthias Lindemann, Alexander Koller, Ivan Titov
2023	J	`jnl`	Latent Feature-based Data Splits to Improve Generalisation Evaluation: A Hate Speech Detection Case Study. CoRR Maike Züfle, Verna Dankers, Ivan Titov
2023	A*	`conf`	Memorisation Cartography: Mapping out the Memorisation-Generalisation Continuum in Neural Machine Translation. EMNLP Verna Dankers, Ivan Titov, Dieuwke Hupkes
2023	J	`jnl`	Memorisation Cartography: Mapping out the Memorisation-Generalisation Continuum in Neural Machine Translation. CoRR Verna Dankers, Ivan Titov, Dieuwke Hupkes
2023	J	`jnl`	Recursive Neural Networks with Bottlenecks Diagnose (Non-)Compositionality. CoRR Verna Dankers, Ivan Titov
2023	—	`conf`	Subspace Chronicles: How Linguistic Information Emerges, Shifts and Interacts during Language Model Training. EMNLP (Findings) Max Müller-Eberstein, Rob van der Goot, Barbara Plank, Ivan Titov
2023	J	`jnl`	Subspace Chronicles: How Linguistic Information Emerges, Shifts and Interacts during Language Model Training. CoRR Max Müller-Eberstein, Rob van der Goot, Barbara Plank, Ivan Titov
2023	A*	`conf`	Theoretical and Practical Perspectives on what Influence Functions Do. NeurIPS Andrea Schioppa, Katja Filippova, Ivan Titov, Polina Zablotskaia
2023	J	`jnl`	Theoretical and Practical Perspectives on what Influence Functions Do. CoRR Andrea Schioppa, Katja Filippova, Ivan Titov, Polina Zablotskaia
2022	—	`conf`	Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation. ACL (1) Verna Dankers, Christopher G. Lucas, Ivan Titov
2022	J	`jnl`	Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation. CoRR Verna Dankers, Christopher G. Lucas, Ivan Titov
2022	J	`jnl`	Compositional Generalisation with Structured Reordering and Fertility Layers. CoRR Matthias Lindemann, Alexander Koller, Ivan Titov
2022	A*	`conf`	Hierarchical Phrase-Based Sequence-to-Sequence Learning. EMNLP Bailin Wang, Ivan Titov, Jacob Andreas, Yoon Kim
2022	J	`jnl`	Hierarchical Phrase-based Sequence-to-Sequence Learning. CoRR Bailin Wang, Ivan Titov, Jacob Andreas, Yoon Kim
2022	—	`conf`	Recursive Neural Networks with Bottlenecks Diagnose (Non-)Compositionality. EMNLP (Findings) Verna Dankers, Ivan Titov
2022	—	`conf`	Sparse Interventions in Language Models with Differentiable Masking. BlackboxNLP@EMNLP Nicola De Cao, Leon Schmid, Dieuwke Hupkes, Ivan Titov
2021	—	`conf`	A Closer Look into the Robustness of Neural Dependency Parsers Using Better Adversarial Examples. ACL/IJCNLP (Findings) Yuxuan Wang, Wanxiang Che, Ivan Titov, Shay B. Cohen, Zhilin Lei, Ting Liu
2021	—	`conf`	A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing. EMNLP (1) Chunchuan Lyu, Shay B. Cohen, Ivan Titov
2021	—	`conf`	Analyzing the Source and Target Contributions to Predictions in Neural Machine Translation. ACL/IJCNLP (1) Elena Voita, Rico Sennrich, Ivan Titov
2021	—	`conf`	Beyond Sentence-Level End-to-End Speech Translation: Context Helps. ACL/IJCNLP (1) Biao Zhang, Ivan Titov, Barry Haddow, Rico Sennrich
2021	—	`conf`	Editing Factual Knowledge in Language Models. EMNLP (1) Nicola De Cao, Wilker Aziz, Ivan Titov
2021	J	`jnl`	Editing Factual Knowledge in Language Models. CoRR Nicola De Cao, Wilker Aziz, Ivan Titov
2021	—	`conf`	Exploring Unsupervised Pretraining Objectives for Machine Translation. ACL/IJCNLP (Findings) Christos Baziotis, Ivan Titov, Alexandra Birch, Barry Haddow
2021	J	`jnl`	Exploring Unsupervised Pretraining Objectives for Machine Translation. CoRR Christos Baziotis, Ivan Titov, Alexandra Birch, Barry Haddow
2021	—	`conf`	Highly Parallel Autoregressive Entity Linking with Discriminative Correction. EMNLP (1) Nicola De Cao, Wilker Aziz, Ivan Titov
2021	J	`jnl`	Highly Parallel Autoregressive Entity Linking with Discriminative Correction. CoRR Nicola De Cao, Wilker Aziz, Ivan Titov
2021	A*	`conf`	Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking. ICLR Michael Sejr Schlichtkrull, Nicola De Cao, Ivan Titov
2021	—	`conf`	Language Modeling, Lexical Translation, Reordering: The Training Process of NMT through the Lens of Classical SMT. EMNLP (1) Elena Voita, Rico Sennrich, Ivan Titov
2021	J	`jnl`	Language Modeling, Lexical Translation, Reordering: The Training Process of NMT through the Lens of Classical SMT. CoRR Elena Voita, Rico Sennrich, Ivan Titov
2021	—	`conf`	Learning Opinion Summarizers by Selecting Informative Reviews. EMNLP (1) Arthur Brazinskas, Mirella Lapata, Ivan Titov
2021	J	`jnl`	Learning Opinion Summarizers by Selecting Informative Reviews. CoRR Arthur Brazinskas, Mirella Lapata, Ivan Titov
2021	—	`conf`	Learning from Executions for Semantic Parsing. NAACL-HLT Bailin Wang, Mirella Lapata, Ivan Titov
2021	J	`jnl`	Learning from Executions for Semantic Parsing. CoRR Bailin Wang, Mirella Lapata, Ivan Titov
2021	—	`conf`	Meta-Learning for Domain Generalization in Semantic Parsing. NAACL-HLT Bailin Wang, Mirella Lapata, Ivan Titov
2021	—	`conf`	Meta-Learning to Compositionally Generalize. ACL/IJCNLP (1) Henry Conklin, Bailin Wang, Kenny Smith, Ivan Titov
2021	J	`jnl`	Meta-Learning to Compositionally Generalize. CoRR Henry Conklin, Bailin Wang, Kenny Smith, Ivan Titov
2021	—	`conf`	On Sparsifying Encoder Outputs in Sequence-to-Sequence Models. ACL/IJCNLP (Findings) Biao Zhang, Ivan Titov, Rico Sennrich
2021	—	`conf`	Sparse Attention with Linear Units. EMNLP (1) Biao Zhang, Ivan Titov, Rico Sennrich
2021	J	`jnl`	Sparse Attention with Linear Units. CoRR Biao Zhang, Ivan Titov, Rico Sennrich
2021	J	`jnl`	Sparse Interventions in Language Models with Differentiable Masking. CoRR Nicola De Cao, Leon Schmid, Dieuwke Hupkes, Ivan Titov
2021	A*	`conf`	Structured Reordering for Modeling Latent Alignments in Sequence Transduction. NeurIPS Bailin Wang, Mirella Lapata, Ivan Titov
2021	J	`jnl`	Structured Reordering for Modeling Latent Alignments in Sequence Transduction. CoRR Bailin Wang, Mirella Lapata, Ivan Titov
2020	J	`jnl`	A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing. CoRR Chunchuan Lyu, Shay B. Cohen, Ivan Titov
2020	—	`conf`	Adaptive Feature Selection for End-to-End Speech Translation. EMNLP (Findings) Biao Zhang, Ivan Titov, Barry Haddow, Rico Sennrich
2020	J	`jnl`	Adaptive Feature Selection for End-to-End Speech Translation. CoRR Biao Zhang, Ivan Titov, Barry Haddow, Rico Sennrich
2020	J	`jnl`	Analyzing the Source and Target Contributions to Predictions in Neural Machine Translation. CoRR Elena Voita, Rico Sennrich, Ivan Titov
2020	—	`conf`	Detecting Word Sense Disambiguation Biases in Machine Translation for Model-Agnostic Adversarial Attacks. EMNLP (1) Denis Emelin, Ivan Titov, Rico Sennrich
2020	J	`jnl`	Detecting Word Sense Disambiguation Biases in Machine Translation for Model-Agnostic Adversarial Attacks. CoRR Denis Emelin, Ivan Titov, Rico Sennrich
2020	—	`conf`	Fast Interleaved Bidirectional Sequence Generation. WMT@EMNLP Biao Zhang, Ivan Titov, Rico Sennrich
2020	J	`jnl`	Fast Interleaved Bidirectional Sequence Generation. CoRR Biao Zhang, Ivan Titov, Rico Sennrich
2020	J	`jnl`	Few-Shot Learning for Abstractive Multi-Document Opinion Summarization. CoRR Arthur Brazinskas, Mirella Lapata, Ivan Titov
2020	—	`conf`	Few-Shot Learning for Opinion Summarization. EMNLP (1) Arthur Brazinskas, Mirella Lapata, Ivan Titov
2020	—	`conf`	Graph Convolutions over Constituent Trees for Syntax-Aware Semantic Role Labeling. EMNLP (1) Diego Marcheggiani, Ivan Titov
2020	—	`conf`	How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking. EMNLP (1) Nicola De Cao, Michael Sejr Schlichtkrull, Wilker Aziz, Ivan Titov
2020	J	`jnl`	How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking. CoRR Nicola De Cao, Michael Sejr Schlichtkrull, Wilker Aziz, Ivan Titov
2020	A*	`conf`	Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation. ACL Biao Zhang, Philip Williams, Ivan Titov, Rico Sennrich
2020	J	`jnl`	Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation. CoRR Biao Zhang, Philip Williams, Ivan Titov, Rico Sennrich
2020	—	`conf`	Information-Theoretic Probing with Minimum Description Length. EMNLP (1) Elena Voita, Ivan Titov
2020	J	`jnl`	Information-Theoretic Probing with Minimum Description Length. CoRR Elena Voita, Ivan Titov
2020	J	`jnl`	Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking. CoRR Michael Sejr Schlichtkrull, Nicola De Cao, Ivan Titov
2020	J	`jnl`	Meta-Learning for Domain Generalization in Semantic Parsing. CoRR Bailin Wang, Mirella Lapata, Ivan Titov
2020	—	`conf`	Obfuscation for Privacy-preserving Syntactic Parsing. IWPT 2020 Zhifeng Hu, Serhii Havrylov, Ivan Titov, Shay B. Cohen
2020	J	`jnl`	On Sparsifying Encoder Outputs in Sequence-to-Sequence Models. CoRR Biao Zhang, Ivan Titov, Rico Sennrich
2020	J	`jnl`	Preventing Posterior Collapse with Levenshtein Variational Autoencoder. CoRR Serhii Havrylov, Ivan Titov
2020	A*	`conf`	Unsupervised Opinion Summarization as Copycat-Review Generation. ACL Arthur Brazinskas, Mirella Lapata, Ivan Titov
2019	—	`conf`	Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned. ACL (1) Elena Voita, David Talbot, Fedor Moiseev, Rico Sennrich, Ivan Titov
2019	J	`jnl`	Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned. CoRR Elena Voita, David Talbot, Fedor Moiseev, Rico Sennrich, Ivan Titov
2019	A	`conf`	Block Neural Autoregressive Flow. UAI Nicola De Cao, Wilker Aziz, Ivan Titov
2019	J	`jnl`	Block Neural Autoregressive Flow. CoRR Nicola De Cao, Ivan Titov, Wilker Aziz
2019	—	`conf`	Boosting Entity Linking Performance by Leveraging Unlabeled Documents. ACL (1) Phong Le, Ivan Titov
2019	J	`jnl`	Boosting Entity Linking Performance by Leveraging Unlabeled Documents. CoRR Phong Le, Ivan Titov
2019	—	`conf`	Capturing Argument Interaction in Semantic Role Labeling with Capsule Networks. EMNLP/IJCNLP (1) Xinchi Chen, Chunchuan Lyu, Ivan Titov
2019	J	`jnl`	Capturing Argument Interaction in Semantic Role Labeling with Capsule Networks. CoRR Xinchi Chen, Chunchuan Lyu, Ivan Titov
2019	—	`conf`	Context-Aware Monolingual Repair for Neural Machine Translation. EMNLP/IJCNLP (1) Elena Voita, Rico Sennrich, Ivan Titov
2019	J	`jnl`	Context-Aware Monolingual Repair for Neural Machine Translation. CoRR Elena Voita, Rico Sennrich, Ivan Titov
2019	—	`conf`	Distant Learning for Entity Linking with Automatic Noise Detection. ACL (1) Phong Le, Ivan Titov
2019	J	`jnl`	Distant Learning for Entity Linking with Automatic Noise Detection. CoRR Phong Le, Ivan Titov
2019	—	`conf`	Global Under-Resourced Media Translation (GoURMET). MTSummit (2) Alexandra Birch, Barry Haddow, Ivan Titov, Antonio Valerio Miceli Barone, Rachel Bawden, Felipe Sánchez-Martínez, Mikel L. Forcada, Miquel Esplà-Gomis, Víctor M. Sánchez-Cartagena, Juan Antonio Pérez-Ortiz, Wilker Aziz, Andrew Secker, Peggy van der Kreeft
2019	J	`jnl`	Graph Convolutions over Constituent Trees for Syntax-Aware Semantic Role Labeling. CoRR Diego Marcheggiani, Ivan Titov
2019	—	`conf`	Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention. EMNLP/IJCNLP (1) Biao Zhang, Ivan Titov, Rico Sennrich
2019	J	`jnl`	Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention. CoRR Biao Zhang, Ivan Titov, Rico Sennrich
2019	—	`conf`	Interpretable Neural Predictions with Differentiable Binary Variables. ACL (1) Jasmijn Bastings, Wilker Aziz, Ivan Titov
2019	J	`jnl`	Interpretable Neural Predictions with Differentiable Binary Variables. CoRR Jasmijn Bastings, Wilker Aziz, Ivan Titov
2019	—	`conf`	Learning Semantic Parsers from Denotations with Latent Structured Alignments and Abstract Programs. EMNLP/IJCNLP (1) Bailin Wang, Ivan Titov, Mirella Lapata
2019	J	`jnl`	Learning Semantic Parsers from Denotations with Latent Structured Alignments and Abstract Programs. CoRR Bailin Wang, Ivan Titov, Mirella Lapata
2019	J	`jnl`	Modeling Latent Sentence Structure in Neural Machine Translation. CoRR Jasmijn Bastings, Wilker Aziz, Ivan Titov, Khalil Sima'an
2019	J	`jnl`	Obfuscation for Privacy-preserving Syntactic Parsing. CoRR Zhifeng Hu, Serhii Havrylov, Ivan Titov, Shay B. Cohen
2019	—	`conf`	Question Answering by Reasoning Across Documents with Graph Convolutional Networks. NAACL-HLT (1) Nicola De Cao, Wilker Aziz, Ivan Titov
2019	—	`conf`	Semantic Role Labeling with Iterative Structure Refinement. EMNLP/IJCNLP (1) Chunchuan Lyu, Shay B. Cohen, Ivan Titov
2019	J	`jnl`	Semantic Role Labeling with Iterative Structure Refinement. CoRR Chunchuan Lyu, Shay B. Cohen, Ivan Titov
2019	—	`conf`	Single Document Summarization as Tree Induction. NAACL-HLT (1) Yang Liu, Ivan Titov, Mirella Lapata
2019	—	`conf`	The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives. EMNLP/IJCNLP (1) Elena Voita, Rico Sennrich, Ivan Titov
2019	J	`jnl`	The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives. CoRR Elena Voita, Rico Sennrich, Ivan Titov
2019	J	`jnl`	The Emergence of Compositional Languages for Numeric Concepts Through Iterated Learning in Neural Agents. CoRR Shangmin Guo, Yi Ren, Serhii Havrylov, Stella Frank, Ivan Titov, Kenny Smith
2019	J	`jnl`	Unsupervised Multi-Document Opinion Summarization as Copycat-Review Generation. CoRR Arthur Brazinskas, Mirella Lapata, Ivan Titov
2019	—	`conf`	When a Good Translation is Wrong in Context: Context-Aware Machine Translation Improves on Deixis, Ellipsis, and Lexical Cohesion. ACL (1) Elena Voita, Rico Sennrich, Ivan Titov
2019	J	`jnl`	When a Good Translation is Wrong in Context: Context-Aware Machine Translation Improves on Deixis, Ellipsis, and Lexical Cohesion. CoRR Elena Voita, Rico Sennrich, Ivan Titov
2019	—	`conf`	Widening the Representation Bottleneck in Neural Machine Translation with Lexical Shortcuts. WMT (1) Denis Emelin, Ivan Titov, Rico Sennrich
2019	J	`jnl`	Widening the Representation Bottleneck in Neural Machine Translation with Lexical Shortcuts. CoRR Denis Emelin, Ivan Titov, Rico Sennrich
2018	—	`conf`	AMR Parsing as Graph Prediction with Latent Alignment. ACL (1) Chunchuan Lyu, Ivan Titov
2018	J	`jnl`	AMR Parsing as Graph Prediction with Latent Alignment. CoRR Chunchuan Lyu, Ivan Titov
2018	—	`conf`	Context-Aware Neural Machine Translation Learns Anaphora Resolution. ACL (1) Elena Voita, Pavel Serdyukov, Rico Sennrich, Ivan Titov
2018	J	`jnl`	Context-Aware Neural Machine Translation Learns Anaphora Resolution. CoRR Elena Voita, Pavel Serdyukov, Rico Sennrich, Ivan Titov
2018	B	`conf`	Embedding Words as Distributions with a Bayesian Skip-gram Model. COLING Arthur Brazinskas, Serhii Havrylov, Ivan Titov
2018	—	`conf`	Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks. NAACL-HLT (2) Diego Marcheggiani, Jasmijn Bastings, Ivan Titov
2018	J	`jnl`	Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks. CoRR Diego Marcheggiani, Jasmijn Bastings, Ivan Titov
2018	—	`conf`	Improving Entity Linking by Modeling Latent Relations between Mentions. ACL (1) Phong Le, Ivan Titov
2018	J	`jnl`	Improving Entity Linking by Modeling Latent Relations between Mentions. CoRR Phong Le, Ivan Titov
2018	B	`conf`	Modeling Relational Data with Graph Convolutional Networks. ESWC Michael Sejr Schlichtkrull, Thomas N. Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, Max Welling
2018	B	`ed.`	Proceedings of the 22nd Conference on Computational Natural Language Learning, CoNLL 2018, Brussels, Belgium, October 31 - November 1, 2018 CoNLL Anna Korhonen, Ivan Titov
2018	J	`jnl`	Question Answering by Reasoning Across Documents with Graph Convolutional Networks. CoRR Nicola De Cao, Wilker Aziz, Ivan Titov
2017	B	`conf`	A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role Labeling. CoNLL Diego Marcheggiani, Anton Frolov, Ivan Titov
2017	J	`jnl`	A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role Labeling. CoRR Diego Marcheggiani, Anton Frolov, Ivan Titov
2017	J	`jnl`	Embedding Words as Distributions with a Bayesian Skip-gram Model. CoRR Arthur Brazinskas, Serhii Havrylov, Ivan Titov
2017	—	`conf`	Emergence of Language with Multi-agent Games: Learning to Communicate with Sequences of Symbols. ICLR (Workshop) Serhii Havrylov, Ivan Titov
2017	—	`conf`	Emergence of Language with Multi-agent Games: Learning to Communicate with Sequences of Symbols. NIPS Serhii Havrylov, Ivan Titov
2017	J	`jnl`	Emergence of Language with Multi-agent Games: Learning to Communicate with Sequences of Symbols. CoRR Serhii Havrylov, Ivan Titov
2017	A*	`conf`	Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling. EMNLP Diego Marcheggiani, Ivan Titov
2017	J	`jnl`	Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling. CoRR Diego Marcheggiani, Ivan Titov
2017	A*	`conf`	Graph Convolutional Encoders for Syntax-aware Neural Machine Translation. EMNLP Jasmijn Bastings, Ivan Titov, Wilker Aziz, Diego Marcheggiani, Khalil Sima'an
2017	J	`jnl`	Graph Convolutional Encoders for Syntax-aware Neural Machine Translation. CoRR Jasmijn Bastings, Ivan Titov, Wilker Aziz, Diego Marcheggiani, Khalil Sima'an
2017	J	`jnl`	Modeling Relational Data with Graph Convolutional Networks. CoRR Michael Sejr Schlichtkrull, Thomas N. Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, Max Welling
2017	J	`jnl`	Modeling Semantic Expectation: Using Script Knowledge for Referent Prediction. CoRR Ashutosh Modi, Ivan Titov, Vera Demberg, Asad B. Sayeed, Manfred Pinkal
2017	J	`jnl`	Modelling Semantic Expectation: Using Script Knowledge for Referent Prediction. Trans. Assoc. Comput. Linguistics Ashutosh Modi, Ivan Titov, Vera Demberg, Asad B. Sayeed, Manfred Pinkal
2017	B	`conf`	Optimizing Differentiable Relaxations of Coreference Evaluation Metrics. CoNLL Phong Le, Ivan Titov
2017	J	`jnl`	Optimizing Differentiable Relaxations of Coreference Evaluation Metrics. CoRR Phong Le, Ivan Titov
2016	J	`jnl`	Adapting to All Domains at Once: Rewarding Domain Invariance in SMT. Trans. Assoc. Comput. Linguistics Cuong Hoang, Khalil Sima'an, Ivan Titov
2016	—	`conf`	Bilingual Learning of Multi-sense Embeddings with Discrete Autoencoders. HLT-NAACL Simon Suster, Ivan Titov, Gertjan van Noord
2016	J	`jnl`	Bilingual Learning of Multi-sense Embeddings with Discrete Autoencoders. CoRR Simon Suster, Ivan Titov, Gertjan van Noord
2016	J	`jnl`	Discrete-State Variational Autoencoders for Joint Discovery and Factorization of Relations. Trans. Assoc. Comput. Linguistics Diego Marcheggiani, Ivan Titov
2015	J	`jnl`	Word Representations, Tree Models and Syntactic Functions. CoRR Simon Suster, Gertjan van Noord, Ivan Titov
2014	A	`conf`	A Hierarchical Bayesian Model for Unsupervised Induction of Script Knowledge. EACL Lea Frermann, Ivan Titov, Manfred Pinkal
2014	J	`jnl`	Improved Estimation of Entropy for Evaluation of Word Sense Induction. Comput. Linguistics Linlin Li, Ivan Titov, Caroline Sporleder
2014	B	`conf`	Inducing Neural Models of Script Knowledge. CoNLL Ashutosh Modi, Ivan Titov
2014	—	`conf`	Learning Semantic Script Knowledge with Event Embeddings. ICLR (Workshop) Ashutosh Modi, Ivan Titov
2013	—	`conf`	A Bayesian Model for Joint Unsupervised Induction of Sentiment, Aspect and Discourse Representations. ACL (1) Angeliki Lazaridou, Ivan Titov, Caroline Sporleder
2013	J	`jnl`	Multilingual Joint Parsing of Syntactic and Semantic Dependencies with a Latent Variable Model. Comput. Linguistics James Henderson, Paola Merlo, Ivan Titov, Gabriele Musillo
2013	A*	`conf`	Predicting the Resolution of Referring Expressions from User Behavior. EMNLP Nikos Engonopoulos, Martin Villalba, Ivan Titov, Alexander Koller
2013	—	`conf`	Semantic Role Labeling. HLT-NAACL Martha Palmer, Ivan Titov, Shumin Wu
2013	A*	`conf`	Translating Video Content to Natural Language Descriptions. ICCV Marcus Rohrbach, Wei Qiu, Ivan Titov, Stefan Thater, Manfred Pinkal, Bernt Schiele
2012	A	`conf`	A Bayesian Approach to Unsupervised Semantic Role Induction. EACL Ivan Titov, Alexandre Klementiev
2012	—	`conf`	Crosslingual Induction of Semantic Roles. ACL (1) Ivan Titov, Alexandre Klementiev
2012	B	`conf`	Inducing Crosslingual Distributed Representations of Words. COLING Alexandre Klementiev, Ivan Titov, Binod Bhattarai
2012	B	`conf`	Semi-Supervised Semantic Role Labeling: Approaching from an Unsupervised Perspective. COLING Ivan Titov, Alexandre Klementiev
2011	A*	`conf`	A Bayesian Model for Unsupervised Semantic Parsing. ACL Ivan Titov, Alexandre Klementiev
2010	—	`ch.`	A Latent Variable Model for Generative Dependency Parsing. Trends in Parsing Technology Ivan Titov, James Henderson
2010	J	`jnl`	Incremental Sigmoid Belief Networks for Grammar Learning. J. Mach. Learn. Res. James Henderson, Ivan Titov
2010	A	`conf`	Unsupervised Aggregation for Classification Problems with Large Numbers of Categories. AISTATS Ivan Titov, Alexandre Klementiev, Kevin Small, Dan Roth
2009	—	`conf`	A Latent Variable Model of Synchronous Syntactic-Semantic Parsing for Multiple Languages. CoNLL Shared Task Andrea Gesmundo, James Henderson, Paola Merlo, Ivan Titov
2009	A*	`conf`	Online Graph Planarisation for Synchronous Parsing of Semantic and Syntactic Dependencies. IJCAI Ivan Titov, James Henderson, Paola Merlo, Gabriele Musillo
2009	A	`conf`	Sequential Learning of Classifiers for Structured Prediction Problems. AISTATS Dan Roth, Kevin Small, Ivan Titov
2009	A*	`conf`	Unsupervised Rank Aggregation with Domain-Specific Expertise. IJCAI Alexandre Klementiev, Dan Roth, Kevin Small, Ivan Titov
2008	A*	`conf`	A Joint Model of Text and Aspect Ratings for Sentiment Summarization. ACL Ivan Titov, Ryan T. McDonald
2008	B	`conf`	A Latent Variable Model of Synchronous Parsing for Syntactic and Semantic Dependencies. CoNLL James Henderson, Paola Merlo, Gabriele Musillo, Ivan Titov
2008	—	`—`	Exploiting non-linear probabilistic models in natural language parsing and reranking. Ivan Titov
2008	J	`jnl`	Modeling Online Reviews with Multi-grain Topic Models CoRR Ivan Titov, Ryan T. McDonald
2008	A*	`conf`	Modeling online reviews with multi-grain topic models. WWW Ivan Titov, Ryan T. McDonald
2007	—	`conf`	A Latent Variable Model for Generative Dependency Parsing. IWPT Ivan Titov, James Henderson
2007	A*	`conf`	Constituent Parsing with Incremental Sigmoid Belief Networks. ACL Ivan Titov, James Henderson
2007	—	`conf`	Fast and Robust Multilingual Dependency Parsing with a Generative Latent Variable Model. EMNLP-CoNLL Ivan Titov, James Henderson
2007	A*	`conf`	Incremental Bayesian networks for structure prediction. ICML Ivan Titov, James Henderson
2006	A*	`conf`	Loss Minimization in Parse Reranking. EMNLP Ivan Titov, James Henderson
2006	B	`conf`	Porting Statistical Parsers with Data-Defined Kernels. CoNLL Ivan Titov, James Henderson
2005	A*	`conf`	Data-Defined Kernels for Parse Reranking Derived from Probabilistic Models. ACL James Henderson, Ivan Titov
2005	B	`conf`	Deriving kernels from MLP probability estimators for large categorization problems. IJCNN Ivan Titov, James Henderson