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ORCIDIvan Titov
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Ivan Titov 0001 — University of Amsterdam, The Netherlands (and 2 more)
- Ivan Titov 0002
![[0009-0005-5123-7723]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0009-0005-5123-7723")
— Heidelberg University, Germany
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2020 – today
- 2025
[c17]Masaru Isonuma, Ivan Titov:
What's New in My Data? Novelty Exploration via Contrastive Generation. ICLR 2025- [c16]Ivan Titov:
Relative Randomness and Continuous Translation Functions. MFCS 2025: 91:1-91:17 - [i17]Karim Galliamov, Ivan Titov, Ilya Pershin:
Enhancing RLHF with Human Gaze Modeling. CoRR abs/2507.09016 (2025) - [i16]Ameen Ali, Shahar Katz, Lior Wolf, Ivan Titov:
Detecting and Pruning Prominent but Detrimental Neurons in Large Language Models. CoRR abs/2507.09185 (2025) - [i15]Dennis Ulmer, Alexandra Lorson, Ivan Titov, Christian Hardmeier:
Anthropomimetic Uncertainty: What Verbalized Uncertainty in Language Models is Missing. CoRR abs/2507.10587 (2025) - [i14]Neel Rajani, Aryo Pradipta Gema, Seraphina Goldfarb-Tarrant, Ivan Titov:
Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them. CoRR abs/2507.10616 (2025) - 2024
- [c15]Masaru Isonuma, Ivan Titov:
Unlearning Traces the Influential Training Data of Language Models. ACL (1) 2024: 6312-6325 - [i13]Masaru Isonuma, Ivan Titov:
Unlearning Reveals the Influential Training Data of Language Models. CoRR abs/2401.15241 (2024) - [i12]Ivan Titov:
Extending the Limit Theorem of Barmpalias and Lewis-Pye to all reals. CoRR abs/2407.14445 (2024) - [i11]Ameen Ali, Lior Wolf, Ivan Titov:
Mitigating Copy Bias in In-Context Learning through Neuron Pruning. CoRR abs/2410.01288 (2024) - [i10]Masaru Isonuma, Ivan Titov:
What's New in My Data? Novelty Exploration via Contrastive Generation. CoRR abs/2410.14765 (2024) - [i9]Ivan Titov:
Solovay reducibility via translation functions on rationals and on reals. CoRR abs/2410.15563 (2024) - 2023
- [c14]Danis Alukaev, Semen Kiselev, Ilya Pershin, Bulat Ibragimov, Vladimir Ivanov, Alexey Kornaev, Ivan Titov:
Cross-Modal Conceptualization in Bottleneck Models. EMNLP 2023: 5241-5253 - [c13]Yanpeng Zhao, Ivan Titov:
On the Transferability of Visually Grounded PCFGs. EMNLP (Findings) 2023: 7895-7910 - [i8]Yanpeng Zhao, Ivan Titov:
On the Transferability of Visually Grounded PCFGs. CoRR abs/2310.14107 (2023) - [i7]Danis Alukaev, Semen Kiselev, Ilya Pershin, Bulat Ibragimov, Vladimir Ivanov, Alexey Kornaev, Ivan Titov:
Cross-Modal Conceptualization in Bottleneck Models. CoRR abs/2310.14805 (2023) - 2021
- [i6]Yanpeng Zhao, Ivan Titov:
An Empirical Study of Compound PCFGs. CoRR abs/2103.02298 (2021) - 2020
- [c12]Yanpeng Zhao, Ivan Titov:
Visually Grounded Compound PCFGs. EMNLP (1) 2020: 4369-4379 - [i5]Yanpeng Zhao, Ivan Titov:
Unsupervised Transfer of Semantic Role Models from Verbal to Nominal Domain. CoRR abs/2005.00278 (2020) - [i4]Yanpeng Zhao, Ivan Titov:
Visually Grounded Compound PCFGs. CoRR abs/2009.12404 (2020)
2010 – 2019
- 2019
- [c11]Caio Corro, Ivan Titov:
Learning Latent Trees with Stochastic Perturbations and Differentiable Dynamic Programming. ACL (1) 2019: 5508-5521 - [c10]Caio Corro, Ivan Titov:
Differentiable Perturb-and-Parse: Semi-Supervised Parsing with a Structured Variational Autoencoder. ICLR (Poster) 2019 - [i3]Caio Corro, Ivan Titov:
Learning Latent Trees with Stochastic Perturbations and Differentiable Dynamic Programming. CoRR abs/1906.09992 (2019) - 2018
- [i2]Caio Corro, Ivan Titov:
Differentiable Perturb-and-Parse: Semi-Supervised Parsing with a Structured Variational Autoencoder. CoRR abs/1807.09875 (2018) - 2015
- [c9]Ivan Titov, Ehsan Khoddam:
Unsupervised Induction of Semantic Roles within a Reconstruction-Error Minimization Framework. HLT-NAACL 2015: 1-10 - [c8]Ivan Titov, Ehsan Khoddam:
Inducing Semantic Representation from Text by Jointly Predicting and Factorizing Relations. ICLR (Workshop) 2015 - 2014
- [c7]Mikhail Kozhevnikov, Ivan Titov:
Cross-lingual Model Transfer Using Feature Representation Projection. ACL (2) 2014: 579-585 - [i1]Ivan Titov, Ehsan Khoddam:
Unsupervised Induction of Semantic Roles within a Reconstruction-Error Minimization Framework. CoRR abs/1412.2812 (2014) - 2013
- [c6]Mikhail Kozhevnikov, Ivan Titov:
Cross-lingual Transfer of Semantic Role Labeling Models. ACL (1) 2013: 1190-1200 - [c5]Mikhail Kozhevnikov, Ivan Titov:
Bootstrapping Semantic Role Labelers from Parallel Data. *SEM@NAACL-HLT 2013: 317-327 - 2011
- [c4]Ivan Titov:
Domain Adaptation by Constraining Inter-Domain Variability of Latent Feature Representation. ACL 2011: 62-71 - 2010
- [c3]Minwoo Jeong, Ivan Titov:
Unsupervised Discourse Segmentation of Documents with Inherently Parallel Structure. ACL (2) 2010: 151-155 - [c2]Ivan Titov, Mikhail Kozhevnikov:
Bootstrapping Semantic Analyzers from Non-Contradictory Texts. ACL 2010: 958-967 - [c1]Minwoo Jeong, Ivan Titov:
Multi-document topic segmentation. CIKM 2010: 1119-1128
Coauthor Index
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