Optimal allocation-consumption problem for a portfolio with an illiquid asset. - Ljudmila A. Bordag; Ivan P. Yamshchikov; Dmitry Zhelezov (Int. J. Comput. Math., 2016)

Music generation with variational recurrent autoencoder supported by history. - Alexey Tikhonov; Ivan P. Yamshchikov (CoRR, 2017)

Elephants, Donkeys, and Colonel Blotto. - Ivan P. Yamshchikov; Sharwin Rezagholi (COMPLEXIS, 2018)

Guess who? Multilingual Approach For The Automated Generation Of Author-Stylized Poetry. - Alexey Tikhonov; Ivan P. Yamshchikov (SLT, 2018)

What is wrong with style transfer for texts? - Alexey Tikhonov; Ivan P. Yamshchikov (CoRR, 2018)

Style Transfer for Texts: Retrain, Report Errors, Compare with Rewrites. - Alexey Tikhonov; Viacheslav Shibaev; Aleksander Nagaev; Aigul Nugmanova; Ivan P. Yamshchikov (EMNLP/IJCNLP (1), 2019)

Decomposing Textual Information For Style Transfer. - Ivan P. Yamshchikov; Viacheslav Shibaev; Aleksander Nagaev; Jürgen Jost; Alexey Tikhonov (NGT@EMNLP-IJCNLP, 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)

Text Classification for Monolingual Political Manifestos with Words Out of Vocabulary. - Arsenii Rasov; Ilya Obabkov; Eckehard Olbrich; Ivan P. Yamshchikov (COMPLEXIS, 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 (COMPLEXIS, 2020)

Drum Beats and Where To Find Them: Sampling Drum Patterns from a Latent Space. - Alexey Tikhonov; Ivan P. Yamshchikov (ICCC, 2020)

Synonyms and Antonyms: Embedded Conflict. - Igor Samenko; Alexey Tikhonov; Ivan P. Yamshchikov (CoRR, 2020)

Paranoid Transformer: Reading Narrative of Madness as Computational Approach to Creativity. - Yana Agafonova; Alexey Tikhonov; Ivan P. Yamshchikov (Future Internet, 2020)

Style-transfer and Paraphrase: Looking for a Sensible Semantic Similarity Metric. - Ivan P. Yamshchikov; Viacheslav Shibaev; Nikolay Khlebnikov; Alexey Tikhonov (AAAI, 2021)

Artificial Neural Networks Jamming on the Beat. - Alexey Tikhonov; Ivan P. Yamshchikov (COMPLEXIS, 2021)

StoryDB: Broad Multi-language Narrative Dataset. - Alexey Tikhonov; Igor Samenko; Ivan P. Yamshchikov (Eval4NLP, 2021)

DYPLODOC: Dynamic Plots for Document Classification. - Anastasia Malysheva; Alexey Tikhonov; Ivan P. Yamshchikov (MMBD/MLIS, 2021)

Intuitive Contrasting Map for Antonym Embeddings. - Igor Samenko; Alexey Tikhonov; Ivan P. Yamshchikov (MMBD/MLIS, 2021)

Rethinking Crowd Sourcing for Semantic Similarity. - Shaul Solomon; Adam Cohn; Hernan Rosenblum; Chezi Hershkovitz; Ivan P. Yamshchikov (CoRR, 2021)

Chekhov's Gun Recognition. - Alexey Tikhonov; Ivan P. Yamshchikov (CoRR, 2021)

Fine-Tuning Transformers: Vocabulary Transfer. - Igor Samenko; Alexey Tikhonov; Borislav Kozlovskii; Ivan P. Yamshchikov (CoRR, 2021)

Do Data-based Curricula Work? - Maxim K. Surkov; Vladislav D. Mosin; Ivan P. Yamshchikov (Insights@ACL, 2022)

Moving Other Way: Exploring Word Mover Distance Extensions. - Ilya S. Smirnov; Ivan P. Yamshchikov (COMPLEXIS, 2022)

BERT in Plutarch's Shadows. - Ivan P. Yamshchikov; Alexey Tikhonov; Yorgos Pantis; Charlotte Schubert; Jürgen Jost (EMNLP, 2022)

Vocabulary Transfer for Medical Texts. - Vladislav D. Mosin; Ivan P. Yamshchikov (CoRR, 2022)

What is Wrong with Language Models that Can Not Tell a Story? - Ivan P. Yamshchikov; Alexey Tikhonov (CoRR, 2022)

Pragmatic Constraint on Distributional Semantics. - Elizaveta Zhemchuzhina; Nikolai Filippov; Ivan P. Yamshchikov (CoRR, 2022)

Rehabilitating Homeless: Dataset and Key Insights. - Anna Bykova; Nikolay Filippov; Ivan P. Yamshchikov (AAAI, 2023)

Post Turing: Mapping the landscape of LLM Evaluation. - Alexey Tikhonov; Ivan P. Yamshchikov (CoRR, 2023)

Quick Estimate of Information Decomposition for Text Style Transfer. - Viacheslav Shibaev; Eckehard Olbrich; Jürgen Jost; Ivan P. Yamshchikov (Entropy, 2023)

Fine-tuning transformers: Vocabulary transfer. - Vladislav D. Mosin; Igor Samenko; Borislav Kozlovskii; Alexey Tikhonov; Ivan P. Yamshchikov (Artif. Intell., 2023)

Fine-Tuning Pre-Trained Language Models for Authorship Attribution of the Pseudo-Dionysian Ars Rhetorica. - Gleb Schmidt; Veronica Vybornaya; Ivan P. Yamshchikov (CHR, 2024)

Vygotsky Distance: Measure for Benchmark Task Similarity. - Maxim K. Surkov; Ivan P. Yamshchikov (LREC/COLING, 2024)

BPE Gets Picky: Efficient Vocabulary Refinement During Tokenizer Training. - Pavel Chizhov; Catherine Arnett; Elizaveta Korotkova; Ivan P. Yamshchikov (EMNLP, 2024)

Scientific Publication Indexing and Definition Extraction Resource. - Priyanka Singh; Pratik Nichite; Abdul Basit Raja; Pranav Kumar Sah; Ivan P. Yamshchikov (ITHET, 2024)

Neural Machine Translation for Malayalam Paraphrase Generation. - Christeena Varghese; Sergey Koshelev; Ivan P. Yamshchikov (CoRR, 2024)

LLMs Simulate Big Five Personality Traits: Further Evidence. - Aleksandra Sorokovikova; Natalia Fedorova; Sharwin Rezagholi; Ivan P. Yamshchikov (CoRR, 2024)

Echo-chambers and Idea Labs: Communication Styles on Twitter. - Aleksandra Sorokovikova; Michael Becker 016; Ivan P. Yamshchikov (CoRR, 2024)

Knowledge Graph Representation for Political Information Sources. - Tinatin Osmonova; Alexey Tikhonov; Ivan P. Yamshchikov (CoRR, 2024)

Individuation in Neural Models with and without Visual Grounding. - Alexey Tikhonov; Lisa Bylinina; Ivan P. Yamshchikov (CoRR, 2024)

Sui Generis: Large Language Models for Authorship Attribution and Verification in Latin. - Gleb Schmidt; Svetlana Gorovaia; 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)

CleanComedy: Creating Friendly Humor through Generative Techniques. - Dmitry Vikhorev; Daria Galimzianova; Svetlana Gorovaia; Elizaveta Zhemchuzhina; Ivan P. Yamshchikov (CoRR, 2024)

Smotrom tvoja på ander drogoj verden! Resurrecting Dead Pidgin with Generative Models: Russenorsk Case Study. - Alexey Tikhonov; Sergei Shteiner; Anna Bykova; Ivan P. Yamshchikov (ACL (Findings), 2025)

Better Call Claude: Can LLMs Detect Changes of Writing Style? - Johannes Römisch; Svetlana Gorovaia; Mariia Halchynska; Gleb Schmidt; Ivan P. Yamshchikov (CLEF, 2025)

Generalization potential of large language models. - Mikhail Budnikov; Anna Bykova; Ivan P. Yamshchikov (Neural Comput. Appl., 2025)

What the HellaSwag? On the Validity of Common-Sense Reasoning Benchmarks. - Pavel Chizhov; Mattia Nee; Pierre-Carl Langlais; Ivan P. Yamshchikov (CoRR, 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, 2025)

Transfer of Structural Knowledge from Synthetic Languages. - Mikhail Budnikov; Ivan P. Yamshchikov (CoRR, 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, 2025)

Greening AI-enabled Systems with Software Engineering: A Research Agenda for Environmentally Sustainable AI Practices. - Luis Cruz 002; 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; et al. (CoRR, 2025)

Surface Fairness, Deep Bias: A Comparative Study of Bias in Language Models. - Aleksandra Sorokovikova; Pavel Chizhov; Iuliia Eremenko; Ivan P. Yamshchikov (CoRR, 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, 2025)