Ivan Titov

37 papers A* 5A 1Journal 19Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Unified View of Attention and Residual Sinks: Outlier-Driven Rescaling is Essential for Transformer Training.
CoRR
Zihan Qiu, Zeyu Huang, Kaiyue Wen, Peng Jin, Bo Zheng, Yuxin Zhou, Haofeng Huang, Zekun Wang, Xiao Li, Huaqing Zhang, Yang Xu, Haoran Lian, Siqi Zhang, Rui Men, Jianwei Zhang, Ivan Titov, Dayiheng Liu, Jingren Zhou, Junyang Lin
2026 — conf
Mitigating Copy Bias in In-Context Learning through Neuron Pruning.
EACL (Findings)
Ameen Ali, Lior Wolf, Ivan Titov
2026 J jnl
Operationalising the Superficial Alignment Hypothesis via Task Complexity.
CoRR
Tomás Vergara Browne, Darshan Patil, Ivan Titov, Siva Reddy, Tiago Pimentel, Marius Mosbach
2025 J jnl
Anthropomimetic Uncertainty: What Verbalized Uncertainty in Language Models is Missing.
CoRR
Dennis Ulmer, Alexandra Lorson, Ivan Titov, Christian Hardmeier
2025 J jnl
Detecting and Pruning Prominent but Detrimental Neurons in Large Language Models.
CoRR
Ameen Ali, Shahar Katz, Lior Wolf, Ivan Titov
2025 A* conf
Enhancing RLHF with Human Gaze Modeling.
EMNLP
Karim Galliamov, Ivan Titov, Ilya Pershin
2025 J jnl
Enhancing RLHF with Human Gaze Modeling.
CoRR
Karim Galliamov, Ivan Titov, Ilya Pershin
2025 J jnl
Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them.
CoRR
Neel Rajani, Aryo Pradipta Gema, Seraphina Goldfarb-Tarrant, Ivan Titov
2025 A* conf
What's New in My Data? Novelty Exploration via Contrastive Generation.
ICLR
Masaru Isonuma, Ivan Titov
2024 J jnl
Extending the Limit Theorem of Barmpalias and Lewis-Pye to all reals.
CoRR
Ivan Titov
2024 J jnl
Mitigating Copy Bias in In-Context Learning through Neuron Pruning.
CoRR
Ameen Ali, Lior Wolf, Ivan Titov
2024 J jnl
Solovay reducibility via translation functions on rationals and on reals.
CoRR
Ivan Titov
2024 J jnl
Unlearning Reveals the Influential Training Data of Language Models.
CoRR
Masaru Isonuma, Ivan Titov
2024 — conf
Unlearning Traces the Influential Training Data of Language Models.
ACL (1)
Masaru Isonuma, Ivan Titov
2024 J jnl
What's New in My Data? Novelty Exploration via Contrastive Generation.
CoRR
Masaru Isonuma, Ivan Titov
2023 A* conf
Cross-Modal Conceptualization in Bottleneck Models.
EMNLP
Danis Alukaev, Semen Kiselev, Ilya Pershin, Bulat Ibragimov, Vladimir Ivanov, Alexey Kornaev, Ivan Titov
2023 J jnl
Cross-Modal Conceptualization in Bottleneck Models.
CoRR
Danis Alukaev, Semen Kiselev, Ilya Pershin, Bulat Ibragimov, Vladimir Ivanov, Alexey Kornaev, Ivan Titov
2023 — conf
On the Transferability of Visually Grounded PCFGs.
EMNLP (Findings)
Yanpeng Zhao, Ivan Titov
2023 J jnl
On the Transferability of Visually Grounded PCFGs.
CoRR
Yanpeng Zhao, Ivan Titov
2021 J jnl
An Empirical Study of Compound PCFGs.
CoRR
Yanpeng Zhao, Ivan Titov
2020 J jnl
Unsupervised Transfer of Semantic Role Models from Verbal to Nominal Domain.
CoRR
Yanpeng Zhao, Ivan Titov
2020 — conf
Visually Grounded Compound PCFGs.
EMNLP (1)
Yanpeng Zhao, Ivan Titov
2020 J jnl
Visually Grounded Compound PCFGs.
CoRR
Yanpeng Zhao, Ivan Titov
2019 — conf
Differentiable Perturb-and-Parse: Semi-Supervised Parsing with a Structured Variational Autoencoder.
ICLR (Poster)
Caio Corro, Ivan Titov
2019 — conf
Learning Latent Trees with Stochastic Perturbations and Differentiable Dynamic Programming.
ACL (1)
Caio Corro, Ivan Titov
2019 J jnl
Learning Latent Trees with Stochastic Perturbations and Differentiable Dynamic Programming.
CoRR
Caio Corro, Ivan Titov
2018 J jnl
Differentiable Perturb-and-Parse: Semi-Supervised Parsing with a Structured Variational Autoencoder.
CoRR
Caio Corro, Ivan Titov
2015 — conf
Inducing Semantic Representation from Text by Jointly Predicting and Factorizing Relations.
ICLR (Workshop)
Ivan Titov, Ehsan Khoddam
2015 — conf
Unsupervised Induction of Semantic Roles within a Reconstruction-Error Minimization Framework.
HLT-NAACL
Ivan Titov, Ehsan Khoddam
2014 — conf
Cross-lingual Model Transfer Using Feature Representation Projection.
ACL (2)
Mikhail Kozhevnikov, Ivan Titov
2014 J jnl
Unsupervised Induction of Semantic Roles within a Reconstruction-Error Minimization Framework.
CoRR
Ivan Titov, Ehsan Khoddam
2013 — conf
Bootstrapping Semantic Role Labelers from Parallel Data.
*SEM@NAACL-HLT
Mikhail Kozhevnikov, Ivan Titov
2013 — conf
Cross-lingual Transfer of Semantic Role Labeling Models.
ACL (1)
Mikhail Kozhevnikov, Ivan Titov
2011 A* conf
Domain Adaptation by Constraining Inter-Domain Variability of Latent Feature Representation.
ACL
Ivan Titov
2010 A* conf
Bootstrapping Semantic Analyzers from Non-Contradictory Texts.
ACL
Ivan Titov, Mikhail Kozhevnikov
2010 A conf
Multi-document topic segmentation.
CIKM
Minwoo Jeong, Ivan Titov
2010 — conf
Unsupervised Discourse Segmentation of Documents with Inherently Parallel Structure.
ACL (2)
Minwoo Jeong, Ivan Titov