Ivan P. Yamshchikov

According to our database, Ivan P. Yamshchikov authored at least 53 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Team "better_call_claude": Style Change Detection using a Sequential Sentence Pair Classifier.

Gleb Schmidt, Johannes Römisch, Mariia Halchynska, Svetlana Gorovaia, Ivan P. Yamshchikov

CoRR, August, 2025

Surface Fairness, Deep Bias: A Comparative Study of Bias in Language Models.

Aleksandra Sorokovikova, Pavel Chizhov, Iuliia Eremenko, Ivan P. Yamshchikov

CoRR, June, 2025

Greening AI-enabled Systems with Software Engineering: A Research Agenda for Environmentally Sustainable AI Practices.

Luis Cruz, João Paulo Fernandes, Maja H. Kirkeby, Silverio Martínez-Fernández, June Sallou, Hina Anwar, Enrique Barba Roque, Justus Bogner, Joel Castaño, Fernando Castor, Aadil Chasmawala, Simão Cunha, Daniel Feitosa, Alexandra González, Andreas Jedlitschka, Patricia Lago, Henry Muccini, Ana Oprescu, Pooja Rani, João Saraiva, Federica Sarro, Raghavendra Selvan, Karthik Vaidhyanathan, Roberto Verdecchia, Ivan P. Yamshchikov

CoRR, June, 2025

Common Corpus: The Largest Collection of Ethical Data for LLM Pre-Training.

Pierre-Carl Langlais, Carlos Rosas Hinostroza, Mattia Nee, Catherine Arnett, Pavel Chizhov, Eliot Jones, Irène Girard, David Mach, Anastasia Stasenko, Ivan P. Yamshchikov

CoRR, June, 2025

Transfer of Structural Knowledge from Synthetic Languages.

Mikhail Budnikov, Ivan P. Yamshchikov

CoRR, May, 2025

Even Small Reasoners Should Quote Their Sources: Introducing the Pleias-RAG Model Family.

Pierre-Carl Langlais, Pavel Chizhov, Mattia Nee, Carlos Rosas Hinostroza, Matthieu Delsart, Irène Girard, Othman Hicheur, Anastasia Stasenko, Ivan P. Yamshchikov

CoRR, April, 2025

What the HellaSwag? On the Validity of Common-Sense Reasoning Benchmarks.

Pavel Chizhov, Mattia Nee, Pierre-Carl Langlais, Ivan P. Yamshchikov

CoRR, April, 2025

Generalization potential of large language models.

Mikhail Budnikov, Anna Bykova, Ivan P. Yamshchikov

Neural Comput. Appl., February, 2025

Better Call Claude: Can LLMs Detect Changes of Writing Style?

Johannes Römisch, Svetlana Gorovaia, Mariia Halchynska, Gleb Schmidt, Ivan P. Yamshchikov

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2025

Smotrom tvoja på ander drogoj verden! Resurrecting Dead Pidgin with Generative Models: Russenorsk Case Study.

Alexey Tikhonov, Sergei Shteiner, Anna Bykova, Ivan P. Yamshchikov

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

CleanComedy: Creating Friendly Humor through Generative Techniques.

Dmitry Vikhorev, Daria Galimzianova, Svetlana Gorovaia, Elizaveta Zhemchuzhina, Ivan P. Yamshchikov

CoRR, 2024

Toxicity of the Commons: Curating Open-Source Pre-Training Data.

Catherine Arnett, Eliot Jones, Ivan P. Yamshchikov, Pierre-Carl Langlais

CoRR, 2024

Sui Generis: Large Language Models for Authorship Attribution and Verification in Latin.

Gleb Schmidt, Svetlana Gorovaia, Ivan P. Yamshchikov

CoRR, 2024

Individuation in Neural Models with and without Visual Grounding.

Alexey Tikhonov, Lisa Bylinina, Ivan P. Yamshchikov

CoRR, 2024

Knowledge Graph Representation for Political Information Sources.

Tinatin Osmonova, Alexey Tikhonov, Ivan P. Yamshchikov

CoRR, 2024

Echo-chambers and Idea Labs: Communication Styles on Twitter.

Aleksandra Sorokovikova, Michael Becker, Ivan P. Yamshchikov

CoRR, 2024

LLMs Simulate Big Five Personality Traits: Further Evidence.

Aleksandra Sorokovikova, Natalia Fedorova, Sharwin Rezagholi, Ivan P. Yamshchikov

CoRR, 2024

Neural Machine Translation for Malayalam Paraphrase Generation.

Christeena Varghese, Sergey Koshelev, Ivan P. Yamshchikov

CoRR, 2024

Scientific Publication Indexing and Definition Extraction Resource.

Priyanka Singh, Pratik Nichite, Abdul Basit Raja, Pranav Kumar Sah, Ivan P. Yamshchikov

Proceedings of the 21st International Conference on Information Technology Based Higher Education and Training, 2024

BPE Gets Picky: Efficient Vocabulary Refinement During Tokenizer Training.

Pavel Chizhov, Catherine Arnett, Elizaveta Korotkova, Ivan P. Yamshchikov

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Vygotsky Distance: Measure for Benchmark Task Similarity.

Maxim K. Surkov, Ivan P. Yamshchikov

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Fine-Tuning Pre-Trained Language Models for Authorship Attribution of the Pseudo-Dionysian Ars Rhetorica.

Gleb Schmidt, Veronica Vybornaya, Ivan P. Yamshchikov

Proceedings of the Computational Humanities Research Conference 2024, 2024

2023

Fine-tuning transformers: Vocabulary transfer.

Vladislav D. Mosin, Igor Samenko, Borislav Kozlovskii, Alexey Tikhonov, Ivan P. Yamshchikov

Artif. Intell., April, 2023

Quick Estimate of Information Decomposition for Text Style Transfer.

Viacheslav Shibaev, Eckehard Olbrich, Jürgen Jost, Ivan P. Yamshchikov

Entropy, February, 2023

Post Turing: Mapping the landscape of LLM Evaluation.

Alexey Tikhonov, Ivan P. Yamshchikov

CoRR, 2023

Rehabilitating Homeless: Dataset and Key Insights.

Anna Bykova, Nikolay Filippov, Ivan P. Yamshchikov

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Pragmatic Constraint on Distributional Semantics.

Elizaveta Zhemchuzhina, Nikolai Filippov, Ivan P. Yamshchikov

CoRR, 2022

What is Wrong with Language Models that Can Not Tell a Story?

Ivan P. Yamshchikov, Alexey Tikhonov

CoRR, 2022

Vocabulary Transfer for Medical Texts.

Vladislav D. Mosin, Ivan P. Yamshchikov

CoRR, 2022

BERT in Plutarch's Shadows.

Ivan P. Yamshchikov, Alexey Tikhonov, Yorgos Pantis, Charlotte Schubert, Jürgen Jost

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Moving Other Way: Exploring Word Mover Distance Extensions.

Ilya S. Smirnov, Ivan P. Yamshchikov

Proceedings of the 7th International Conference on Complexity, 2022

Do Data-based Curricula Work?

Maxim K. Surkov, Vladislav D. Mosin, Ivan P. Yamshchikov

Proceedings of the Third Workshop on Insights from Negative Results in NLP, 2022

2021

Fine-Tuning Transformers: Vocabulary Transfer.

Igor Samenko, Alexey Tikhonov, Borislav Kozlovskii, Ivan P. Yamshchikov

CoRR, 2021

Chekhov's Gun Recognition.

Alexey Tikhonov, Ivan P. Yamshchikov

CoRR, 2021

Rethinking Crowd Sourcing for Semantic Similarity.

Shaul Solomon, Adam Cohn, Hernan Rosenblum, Chezi Hershkovitz, Ivan P. Yamshchikov

CoRR, 2021

Intuitive Contrasting Map for Antonym Embeddings.

Igor Samenko, Alexey Tikhonov, Ivan P. Yamshchikov

Proceedings of the Modern Management based on Big Data II and Machine Learning and Intelligent Systems III, 2021

DYPLODOC: Dynamic Plots for Document Classification.

Anastasia Malysheva, Alexey Tikhonov, Ivan P. Yamshchikov

Proceedings of the Modern Management based on Big Data II and Machine Learning and Intelligent Systems III, 2021

StoryDB: Broad Multi-language Narrative Dataset.

Alexey Tikhonov, Igor Samenko, Ivan P. Yamshchikov

Proceedings of the 2nd Workshop on Evaluation and Comparison of NLP Systems, 2021

Artificial Neural Networks Jamming on the Beat.

Alexey Tikhonov, Ivan P. Yamshchikov

Proceedings of the 6th International Conference on Complexity, 2021

Style-transfer and Paraphrase: Looking for a Sensible Semantic Similarity Metric.

Ivan P. Yamshchikov, Viacheslav Shibaev, Nikolay Khlebnikov, Alexey Tikhonov

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Paranoid Transformer: Reading Narrative of Madness as Computational Approach to Creativity.

Yana Agafonova, Alexey Tikhonov, Ivan P. Yamshchikov

Future Internet, 2020

Synonyms and Antonyms: Embedded Conflict.

Igor Samenko, Alexey Tikhonov, Ivan P. Yamshchikov

CoRR, 2020

Drum Beats and Where To Find Them: Sampling Drum Patterns from a Latent Space.

Alexey Tikhonov, Ivan P. Yamshchikov

Proceedings of the Eleventh International Conference on Computational Creativity, 2020

It Means More If It Sounds Good: Yet Another Hypotheses Concerning the Evolution of Polysemous Words.

Ivan P. Yamshchikov, Cyrille Merleau Nono Saha, Igor Samenko, Jürgen Jost

Proceedings of the 5th International Conference on Complexity, 2020

Text Classification for Monolingual Political Manifestos with Words Out of Vocabulary.

Arsenii Rasov, Ilya Obabkov, Eckehard Olbrich, Ivan P. Yamshchikov

Proceedings of the 5th International Conference on Complexity, 2020

2019

Style Transfer for Texts: to Err is Human, but Error Margins Matter.

Alexey Tikhonov, Viacheslav Shibaev, Aleksander Nagaev, Aigul Nugmanova, Ivan P. Yamshchikov

CoRR, 2019

Decomposing Textual Information For Style Transfer.

Ivan P. Yamshchikov, Viacheslav Shibaev, Aleksander Nagaev, Jürgen Jost, Alexey Tikhonov

Proceedings of the 3rd Workshop on Neural Generation and Translation@EMNLP-IJCNLP 2019, 2019

Style Transfer for Texts: Retrain, Report Errors, Compare with Rewrites.

Alexey Tikhonov, Viacheslav Shibaev, Aleksander Nagaev, Aigul Nugmanova, Ivan P. Yamshchikov

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

What is wrong with style transfer for texts?

Alexey Tikhonov, Ivan P. Yamshchikov

CoRR, 2018

Guess who? Multilingual Approach For The Automated Generation Of Author-Stylized Poetry.

Alexey Tikhonov, Ivan P. Yamshchikov

Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018

Elephants, Donkeys, and Colonel Blotto.

Ivan P. Yamshchikov, Sharwin Rezagholi

Proceedings of the 3rd International Conference on Complexity, 2018

2017

Music generation with variational recurrent autoencoder supported by history.

Alexey Tikhonov, Ivan P. Yamshchikov

CoRR, 2017

2016

Optimal allocation-consumption problem for a portfolio with an illiquid asset.

Ljudmila A. Bordag, Ivan P. Yamshchikov, Dmitry Zhelezov

Int. J. Comput. Math., 2016