Titov, Ivan

23 publications

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