Ivan Titov

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Known people with the same name:

Bibliography

2025
Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them.
CoRR, July, 2025

Anthropomimetic Uncertainty: What Verbalized Uncertainty in Language Models is Missing.
CoRR, July, 2025

Detecting and Pruning Prominent but Detrimental Neurons in Large Language Models.
CoRR, July, 2025

Enhancing RLHF with Human Gaze Modeling.
CoRR, July, 2025

Relative Randomness and Continuous Translation Functions.
Proceedings of the 50th International Symposium on Mathematical Foundations of Computer Science, 2025

What's New in My Data? Novelty Exploration via Contrastive Generation.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Solovay reducibility via translation functions on rationals and on reals.
CoRR, 2024

Mitigating Copy Bias in In-Context Learning through Neuron Pruning.
CoRR, 2024

Extending the Limit Theorem of Barmpalias and Lewis-Pye to all reals.
CoRR, 2024

Unlearning Reveals the Influential Training Data of Language Models.
CoRR, 2024

Unlearning Traces the Influential Training Data of Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
On the Transferability of Visually Grounded PCFGs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Cross-Modal Conceptualization in Bottleneck Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2021
An Empirical Study of Compound PCFGs.
CoRR, 2021

2020
Unsupervised Transfer of Semantic Role Models from Verbal to Nominal Domain.
CoRR, 2020

Visually Grounded Compound PCFGs.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Differentiable Perturb-and-Parse: Semi-Supervised Parsing with a Structured Variational Autoencoder.
Proceedings of the 7th International Conference on Learning Representations, 2019

Learning Latent Trees with Stochastic Perturbations and Differentiable Dynamic Programming.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2015
Inducing Semantic Representation from Text by Jointly Predicting and Factorizing Relations.
Proceedings of the 3rd International Conference on Learning Representations, 2015

Unsupervised Induction of Semantic Roles within a Reconstruction-Error Minimization Framework.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

2014
Cross-lingual Model Transfer Using Feature Representation Projection.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
Bootstrapping Semantic Role Labelers from Parallel Data.
Proceedings of the Second Joint Conference on Lexical and Computational Semantics, 2013

Cross-lingual Transfer of Semantic Role Labeling Models.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2011
Domain Adaptation by Constraining Inter-Domain Variability of Latent Feature Representation.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

2010
Multi-document topic segmentation.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Bootstrapping Semantic Analyzers from Non-Contradictory Texts.
Proceedings of the ACL 2010, 2010

Unsupervised Discourse Segmentation of Documents with Inherently Parallel Structure.
Proceedings of the ACL 2010, 2010


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