← Authors

Ivan Titov

132 papers · 2005–2026 · 15 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (13) πŸƒ Academic Marathon (20) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (15) πŸ—ΊοΈ Taxonomy Completionist (18) 🏠 Conference Loyalist (38) 🌟 Keyword Trendsetter Combo (8) 🀝 Dynamic Duo (22) 🧬 Topic Evolution πŸ”¬ Deep Specialist (21) πŸ† Keyword Champion (4) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ”₯ Unstoppable (21) ⚑ Prolific Year (5) ❓ The Questioner (4) πŸ’Ž Century Club (129) πŸ—ƒοΈ Keyword Collector (51)

Conferences

EMNLP (38) ACL (37) IJCNLP (13) NAACL (9) CONLL (8) EACL (7) ICLR (6) COLING (4) NIPS (3) ICML (2) AACL (1) AISTATS (1) ICCV (1) JMLR (1) UAI (1)

Top co-authors

Rico Sennrich (22) Elena Voita (11) Mirella Lapata (10) Biao Zhang (10) James Henderson (9) Wilker Aziz (8) bailin wang (8) Nicola De Cao (7) Alexandre Klementiev (7) Shay B. Cohen (6)

Research topics

Natural Language Processing (2) Optimization (1) Privacy (1)

Keywords

neural machine translation (14) machine translation (11) semantic parsing (9) semantic role labeling (8) latent variable (7) dependency parsing (6) representation learning (5) graph convolutional network (5) language model (5) document-level translation (5) compositional generalization (5) few-shot learning (4) transformer architecture (4) large language model (4) entity linking (4) iterative refinement (4) attention mechanism (4) variational inference (4) variational autoencoder (4) neural network (4)

Papers

Finding Culture-Sensitive Neurons in Vision-Language Models EACL 2026
Analyzing LLM Instruction Optimization for Tabular Fact Verification EACL 2026
Mitigating Copy Bias in In-Context Learning through Neuron Pruning EACL 2026
Enhancing Long Document Long Form Summarisation with Self-Planning AACL 2025
Language Agents Meet Causality -- Bridging LLMs and Causal World Models ICLR 2025
Explanation Regularisation through the Lens of Attributions COLING 2025
Joint Localization and Activation Editing for Low-Resource Fine-Tuning ICML 2025
Enhancing RLHF with Human Gaze Modeling EMNLP 2025
M-Wanda: Improving One-Shot Pruning for Multilingual LLMs EMNLP 2025
Enhancing Long Document Long Form Summarisation with Self-Planning IJCNLP 2025
Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models ACL 2025
Layerwise Recurrent Router for Mixture-of-Experts ICLR 2025
Post-hoc Reward Calibration: A Case Study on Length Bias ICLR 2025
What's New in My Data? Novelty Exploration via Contrastive Generation ICLR 2025
SIP: Injecting a Structural Inductive Bias into a Seq2Seq Model by Simulation ACL 2024
Cache & Distil: Optimising API Calls to Large Language Models ACL 2024
Generalisation First, Memorisation Second? Memorisation Localisation for Natural Language Classification Tasks ACL 2024
Strengthening Structural Inductive Biases by Pre-training to Perform Syntactic Transformations EMNLP 2024
Autoencoding Conditional Neural Processes for Representation Learning ICML 2024
Unlearning Traces the Influential Training Data of Language Models ACL 2024
Compositional Generalisation with Structured Reordering and Fertility Layers EACL 2023
Compositional Generalization without Trees using Multiset Tagging and Latent Permutations ACL 2023
Cross-Modal Conceptualization in Bottleneck Models EMNLP 2023
Theoretical and Practical Perspectives on what Influence Functions Do NIPS 2023
Memorisation Cartography: Mapping out the Memorisation-Generalisation Continuum in Neural Machine Translation EMNLP 2023
Compositional Generalization for Data-to-Text Generation EMNLP 2023
Subspace Chronicles: How Linguistic Information Emerges, Shifts and Interacts during Language Model Training EMNLP 2023
Latent Feature-based Data Splits to Improve Generalisation Evaluation: A Hate Speech Detection Case Study EMNLP 2023
On the Transferability of Visually Grounded PCFGs EMNLP 2023
Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation ACL 2022
Hierarchical Phrase-Based Sequence-to-Sequence Learning EMNLP 2022
Recursive Neural Networks with Bottlenecks Diagnose (Non-)Compositionality EMNLP 2022
Sparse Interventions in Language Models with Differentiable Masking EMNLP 2022
Exploring Unsupervised Pretraining Objectives for Machine Translation ACL 2021
On Sparsifying Encoder Outputs in Sequence-to-Sequence Models IJCNLP 2021
A Closer Look into the Robustness of Neural Dependency Parsers Using Better Adversarial Examples IJCNLP 2021
Editing Factual Knowledge in Language Models EMNLP 2021
Sparse Attention with Linear Units EMNLP 2021
Meta-Learning to Compositionally Generalize IJCNLP 2021
Beyond Sentence-Level End-to-End Speech Translation: Context Helps IJCNLP 2021
Analyzing the Source and Target Contributions to Predictions in Neural Machine Translation IJCNLP 2021
Structured Reordering for Modeling Latent Alignments in Sequence Transduction NIPS 2021
Learning from Executions for Semantic Parsing NAACL 2021
Analyzing the Source and Target Contributions to Predictions in Neural Machine Translation ACL 2021
Beyond Sentence-Level End-to-End Speech Translation: Context Helps ACL 2021
Meta-Learning to Compositionally Generalize ACL 2021
A Closer Look into the Robustness of Neural Dependency Parsers Using Better Adversarial Examples ACL 2021
On Sparsifying Encoder Outputs in Sequence-to-Sequence Models ACL 2021
Exploring Unsupervised Pretraining Objectives for Machine Translation IJCNLP 2021
Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking ICLR 2021
An Empirical Study of Compound PCFGs EACL 2021
Learning Opinion Summarizers by Selecting Informative Reviews EMNLP 2021
A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing EMNLP 2021
Language Modeling, Lexical Translation, Reordering: The Training Process of NMT through the Lens of Classical SMT EMNLP 2021
Meta-Learning for Domain Generalization in Semantic Parsing NAACL 2021
Highly Parallel Autoregressive Entity Linking with Discriminative Correction EMNLP 2021
Information-Theoretic Probing with Minimum Description Length EMNLP 2020
Visually Grounded Compound PCFGs EMNLP 2020
Few-Shot Learning for Opinion Summarization EMNLP 2020
Graph Convolutions over Constituent Trees for Syntax-Aware Semantic Role Labeling EMNLP 2020
How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking EMNLP 2020
Obfuscation for Privacy-preserving Syntactic Parsing ACL 2020
Unsupervised Opinion Summarization as Copycat-Review Generation ACL 2020
Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation ACL 2020
Fast Interleaved Bidirectional Sequence Generation EMNLP 2020
Adaptive Feature Selection for End-to-End Speech Translation EMNLP 2020
Detecting Word Sense Disambiguation Biases in Machine Translation for Model-Agnostic Adversarial Attacks EMNLP 2020
Semantic Role Labeling with Iterative Structure Refinement EMNLP 2019
When a Good Translation is Wrong in Context: Context-Aware Machine Translation Improves on Deixis, Ellipsis, and Lexical Cohesion ACL 2019
Boosting Entity Linking Performance by Leveraging Unlabeled Documents ACL 2019
Interpretable Neural Predictions with Differentiable Binary Variables ACL 2019
Distant Learning for Entity Linking with Automatic Noise Detection ACL 2019
Learning Latent Trees with Stochastic Perturbations and Differentiable Dynamic Programming ACL 2019
Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned ACL 2019
Widening the Representation Bottleneck in Neural Machine Translation with Lexical Shortcuts ACL 2019
Context-Aware Monolingual Repair for Neural Machine Translation EMNLP 2019
Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention EMNLP 2019
Learning Semantic Parsers from Denotations with Latent Structured Alignments and Abstract Programs EMNLP 2019
The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives EMNLP 2019
Capturing Argument Interaction in Semantic Role Labeling with Capsule Networks EMNLP 2019
Differentiable Perturb-and-Parse: Semi-Supervised Parsing with a Structured Variational Autoencoder ICLR 2019
Context-Aware Monolingual Repair for Neural Machine Translation IJCNLP 2019
Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention IJCNLP 2019
Semantic Role Labeling with Iterative Structure Refinement IJCNLP 2019
Learning Semantic Parsers from Denotations with Latent Structured Alignments and Abstract Programs IJCNLP 2019
The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives IJCNLP 2019
Capturing Argument Interaction in Semantic Role Labeling with Capsule Networks IJCNLP 2019
Single Document Summarization as Tree Induction NAACL 2019
Question Answering by Reasoning Across Documents with Graph Convolutional Networks NAACL 2019
Block Neural Autoregressive Flow UAI 2019
Embedding Words as Distributions with a Bayesian Skip-gram Model COLING 2018
AMR Parsing as Graph Prediction with Latent Alignment ACL 2018
Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks NAACL 2018
Proceedings of the 22nd Conference on Computational Natural Language Learning CONLL 2018
Context-Aware Neural Machine Translation Learns Anaphora Resolution ACL 2018
Improving Entity Linking by Modeling Latent Relations between Mentions ACL 2018
Optimizing Differentiable Relaxations of Coreference Evaluation Metrics CONLL 2017
Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling EMNLP 2017
A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role Labeling CONLL 2017
Graph Convolutional Encoders for Syntax-aware Neural Machine Translation EMNLP 2017
Semantic Role Labeling EMNLP 2017
Emergence of Language with Multi-agent Games: Learning to Communicate with Sequences of Symbols NIPS 2017
Bilingual Learning of Multi-sense Embeddings with Discrete Autoencoders NAACL 2016
Unsupervised Induction of Semantic Roles within a Reconstruction-Error Minimization Framework NAACL 2015
Inducing Neural Models of Script Knowledge CONLL 2014
Cross-lingual Model Transfer Using Feature Representation Projection ACL 2014
A Hierarchical Bayesian Model for Unsupervised Induction of Script Knowledge EACL 2014
Cross-lingual Transfer of Semantic Role Labeling Models ACL 2013
A Bayesian Model for Joint Unsupervised Induction of Sentiment, Aspect and Discourse Representations ACL 2013
Translating Video Content to Natural Language Descriptions ICCV 2013
Predicting the Resolution of Referring Expressions from User Behavior EMNLP 2013
Semantic Role Labeling NAACL 2013
Semi-Supervised Semantic Role Labeling: Approaching from an Unsupervised Perspective COLING 2012
Inducing Crosslingual Distributed Representations of Words COLING 2012
Crosslingual Induction of Semantic Roles ACL 2012
Unsupervised Induction of Frame-Semantic Representations NAACL 2012
A Bayesian Approach to Unsupervised Semantic Role Induction EACL 2012
Domain Adaptation by Constraining Inter-Domain Variability of Latent Feature Representation ACL 2011
A Bayesian Model for Unsupervised Semantic Parsing ACL 2011
Unsupervised Aggregation for Classification Problems with Large Numbers of Categories AISTATS 2010
Bootstrapping Semantic Analyzers from Non-Contradictory Texts ACL 2010
Unsupervised Discourse Segmentation of Documents with Inherently Parallel Structure ACL 2010
Incremental Sigmoid Belief Networks for Grammar Learning JMLR 2010
A Latent Variable Model of Synchronous Syntactic-Semantic Parsing for Multiple Languages CONLL 2009
A Joint Model of Text and Aspect Ratings for Sentiment Summarization ACL 2008
A Latent Variable Model of Synchronous Parsing for Syntactic and Semantic Dependencies CONLL 2008
Fast and Robust Multilingual Dependency Parsing with a Generative Latent Variable Model EMNLP 2007
Constituent Parsing with Incremental Sigmoid Belief Networks ACL 2007
Fast and Robust Multilingual Dependency Parsing with a Generative Latent Variable Model CONLL 2007
Loss Minimization in Parse Reranking EMNLP 2006
Porting Statistical Parsers with Data-Defined Kernels CONLL 2006
Data-Defined Kernels for Parse Reranking Derived from Probabilistic Models ACL 2005