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Ivan Titov

119 papers · 2005–2026 · 14 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 27 separate collaboration groups - the largest holds only 21% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.

Which Ivan Titov?

14 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.

with Wilker Aziz, Nicola De Cao, Diego Marcheggiani 20 papers · 2017–2025 · EMNLP, ACL, NAACL Hide ▲
Explanation Regularisation through the Lens of Attributions COLING 2025 Generalisation First, Memorisation Second? Memorisation Localisation for Natural Language Classification Tasks ACL 2024 Latent Feature-based Data Splits to Improve Generalisation Evaluation: A Hate Speech Detection Case Study EMNLP 2023 Memorisation Cartography: Mapping out the Memorisation-Generalisation Continuum in Neural Machine Translation EMNLP 2023 Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation ACL 2022 Recursive Neural Networks with Bottlenecks Diagnose (Non-)Compositionality EMNLP 2022 Sparse Interventions in Language Models with Differentiable Masking EMNLP 2022 Editing Factual Knowledge in Language Models EMNLP 2021 Highly Parallel Autoregressive Entity Linking with Discriminative Correction EMNLP 2021 Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking ICLR 2021 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 Block Neural Autoregressive Flow UAI 2019 Interpretable Neural Predictions with Differentiable Binary Variables ACL 2019 Question Answering by Reasoning Across Documents with Graph Convolutional Networks NAACL 2019 Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks NAACL 2018 A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role Labeling CoNLL 2017 Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling EMNLP 2017 Graph Convolutional Encoders for Syntax-aware Neural Machine Translation EMNLP 2017 Semantic Role Labeling EMNLP 2017
13 papers whose co-authors appear nowhere else under this name
Mitigating Copy Bias in In-Context Learning through Neuron Pruning EACL 2026 Joint Localization and Activation Editing for Low-Resource Fine-Tuning ICML 2025 Autoencoding Conditional Neural Processes for Representation Learning ICML 2024 Subspace Chronicles: How Linguistic Information Emerges, Shifts and Interacts during Language Model Training EMNLP 2023 Theoretical and Practical Perspectives on what Influence Functions Do NeurIPS 2023 Proceedings of the 22nd Conference on Computational Natural Language Learning CoNLL 2018 Bilingual Learning of Multi-sense Embeddings with Discrete Autoencoders NAACL 2016 Unsupervised Induction of Semantic Roles within a Reconstruction-Error Minimization Framework NAACL 2015 A Bayesian Model for Joint Unsupervised Induction of Sentiment, Aspect and Discourse Representations ACL 2013 Semantic Role Labeling NAACL 2013 Domain Adaptation by Constraining Inter-Domain Variability of Latent Feature Representation ACL 2011 Unsupervised Discourse Segmentation of Documents with Inherently Parallel Structure ACL 2010 A Joint Model of Text and Aspect Ratings for Sentiment Summarization ACL 2008

Venues · all papers under this name

EMNLP (38) ACL (37) NAACL (9) CoNLL (7) EACL (7) ICLR (6) COLING (4) NeurIPS (3) AISTATS (2) ICML (2) ICCV (1) IJCNLP (1) JMLR (1) UAI (1)