Titov, Ivan

24 publications

ICLR 2026 Truthful or Fabricated? Using Causal Attribution to Mitigate Reward Hacking in Explanations Pedro Lobato Ferreira, Wilker Aziz, Ivan Titov

NeurIPS 2025 A Controllable Examination for Long-Context Language Models Yijun Yang, Zeyu Huang, Wenhao Zhu, Zihan Qiu, Fei Yuan, Jeff Z. Pan, Ivan Titov

ICML 2025 Joint Localization and Activation Editing for Low-Resource Fine-Tuning Wen Lai, Alexander Fraser, Ivan Titov

ICLR 2025 Language Agents Meet Causality -- Bridging LLMs and Causal World Models John Gkountouras, Matthias Lindemann, Phillip Lippe, Efstratios Gavves, Ivan Titov

ICLR 2025 Layerwise Recurrent Router for Mixture-of-Experts Zihan Qiu, Zeyu Huang, Shuang Cheng, Yizhi Zhou, Zili Wang, Ivan Titov, Jie Fu

ICLR 2025 Post-Hoc Reward Calibration: A Case Study on Length Bias Zeyu Huang, Zihan Qiu, Zili Wang, Edoardo Ponti, Ivan Titov

ICLR 2025 What's New in My Data? Novelty Exploration via Contrastive Generation Masaru Isonuma, Ivan Titov

ICML 2024 Autoencoding Conditional Neural Processes for Representation Learning Victor Prokhorov, Ivan Titov, Siddharth N

NeurIPS 2023 Theoretical and Practical Perspectives on What Influence Functions Do Andrea Schioppa, Katja Filippova, Ivan Titov, Polina Zablotskaia

ICLR 2021 Interpreting Graph Neural Networks for NLP with Differentiable Edge Masking Michael Sejr Schlichtkrull, Nicola De Cao, Ivan Titov

NeurIPS 2021 Structured Reordering for Modeling Latent Alignments in Sequence Transduction Bailin Wang, Mirella Lapata, Ivan Titov

UAI 2019 Block Neural Autoregressive Flow Nicola De Cao, Wilker Aziz, Ivan Titov

ICLR 2019 Differentiable Perturb-and-Parse: Semi-Supervised Parsing with a Structured Variational Autoencoder Caio Corro, Ivan Titov

NeurIPS 2017 Emergence of Language with Multi-Agent Games: Learning to Communicate with Sequences of Symbols Serhii Havrylov, Ivan Titov

ICLR 2017 Emergence of Language with Multi-Agent Games: Learning to Communicate with Sequences of Symbols Serhii Havrylov, Ivan Titov

ICLR 2015 Inducing Semantic Representation from Text by Jointly Predicting and Factorizing Relations Ivan Titov, Ehsan Khoddam

ICLR 2014 Learning Semantic Script Knowledge with Event Embeddings Ashutosh Modi, Ivan Titov

ICCV 2013 Translating Video Content to Natural Language Descriptions Marcus Rohrbach, Wei Qiu, Ivan Titov, Stefan Thater, Manfred Pinkal, Bernt Schiele

JMLR 2010 Incremental Sigmoid Belief Networks for Grammar Learning James Henderson, Ivan Titov

AISTATS 2010 Unsupervised Aggregation for Classification Problems with Large Numbers of Categories Ivan Titov, Alexandre Klementiev, Kevin Small, Dan Roth

IJCAI 2009 Online Graph Planarisation for Synchronous Parsing of Semantic and Syntactic Dependencies Ivan Titov, James Henderson, Paola Merlo, Gabriele Musillo

AISTATS 2009 Sequential Learning of Classifiers for Structured Prediction Problems Dan Roth, Kevin Small, Ivan Titov

IJCAI 2009 Unsupervised Rank Aggregation with Domain-Specific Expertise Alexandre Klementiev, Dan Roth, Kevin Small, Ivan Titov

ICML 2007 Incremental Bayesian Networks for Structure Prediction Ivan Titov, James Henderson