Analyzing conversations with dynamic graph visualization. - Sergey Pupyrev; Alexey Tikhonov (ISDA, 2010)

Studying page life patterns in dynamical web. - Alexey Tikhonov; Ivan Bogatyy; Pavel Burangulov; Liudmila Ostroumova; Vitaliy Koshelev; Gleb Gusev (SIGIR, 2013)

Crawling Policies Based on Web Page Popularity Prediction. - Liudmila Ostroumova; Ivan Bogatyy; Arseniy Chelnokov; Alexey Tikhonov; Gleb Gusev (ECIR, 2014)

Parameter-free discovery and recommendation of areas-of-interest. - Dmitry Laptev; Alexey Tikhonov; Pavel Serdyukov; Gleb Gusev (SIGSPATIAL/GIS, 2014)

What can be Found on the Web and How: A Characterization of Web Browsing Patterns. - Alexey Tikhonov; Liudmila Ostroumova Prokhorenkova; Arseniy Chelnokov; Ivan Bogatyy; Gleb Gusev (WebSci, 2015)

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

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)

Community Detection through Likelihood Optimization: In Search of a Sound Model. - Liudmila Ostroumova Prokhorenkova; Alexey Tikhonov (WWW, 2019)

Learning Clusters through Information Diffusion. - Liudmila Ostroumova Prokhorenkova; Alexey Tikhonov; Nelly Litvak (WWW, 2019)

On Double-Sided QR-Codes. - Alexey Tikhonov (CoRR, 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)

Systematic Analysis of Cluster Similarity Indices: Towards Bias-free Cluster Validation. - Martijn Gösgens; Liudmila Prokhorenkova; Alexey Tikhonov (CoRR, 2019)

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)

It's All in the Heads: Using Attention Heads as a Baseline for Cross-Lingual Transfer in Commonsense Reasoning. - Alexey Tikhonov; Max Ryabinin (ACL/IJCNLP (Findings), 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)

Systematic Analysis of Cluster Similarity Indices: How to Validate Validation Measures. - Martijn Gösgens; Alexey Tikhonov; Liudmila Prokhorenkova (ICML, 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)

Shape of Elephant: Study of Macro Properties of Word Embeddings Spaces. - Alexey Tikhonov (CoRR, 2021)

HeadlineCause: A Dataset of News Headlines for Detecting Casualties. - Ilya Gusev; Alexey Tikhonov (CoRR, 2021)

Old BERT, New Tricks: Artificial Language Learning for Pre-Trained Language Models. - Lisa Bylinina; Alexey Tikhonov; Ekaterina Garmash (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)

Transformers in the loop: Polarity in neural models of language. - Lisa Bylinina; Alexey Tikhonov (ACL (1), 2022)

The driving forces of polarity-sensitivity: Experiments with multilingual pre-trained neural language models. - Lisa Bylinina; Alexey Tikhonov (CogSci, 2022)

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

HeadlineCause: A Dataset of News Headlines for Detecting Causalities. - Ilya Gusev; Alexey Tikhonov (LREC, 2022)

EENLP: Cross-lingual Eastern European NLP Index. - Alexey Tikhonov; Alex Malkhasov; Andrey Manoshin; George-Andrei Dima; Réka Cserháti; Md. Sadek Hossain Asif; Matt Sárdi (LREC, 2022)

Good Classification Measures and How to Find Them. - Martijn Gösgens; Anton Zhiyanov; Alexey Tikhonov; Liudmila Prokhorenkova (CoRR, 2022)

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

When Less Is More: Systematic Analysis of Cascade-Based Community Detection. - Liudmila Prokhorenkova; Alexey Tikhonov; Nelly Litvak (ACM Trans. Knowl. Discov. Data, 2022)

Connecting degree and polarity: An artificial language learning study. - Lisa Bylinina; Alexey Tikhonov; Ekaterina Garmash (EMNLP, 2023)

Leverage Points in Modality Shifts: Comparing Language-only and Multimodal Word Representations. - Lisa Bylinina; Denis Paperno; Alexey Tikhonov (*SEM@ACL, 2023)

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

Unrolling Virtual Worlds for Immersive Experiences. - Alexey Tikhonov; Anton Repushko (CoRR, 2023)

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

AutoVyaz: Automating the Formation of Slavic Calligraphy Ligatures. - Alexey Tikhonov (FDG, 2024)

Humor Mechanics: Advancing Humor Generation with Multistep Reasoning. - Alexey Tikhonov; Pavel Shtykovskiy (ICCC, 2024)

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

Branching Narratives: Character Decision Points Detection. - Alexey Tikhonov (CoRR, 2024)

Machine Apophenia: The Kaleidoscopic Generation of Architectural Images. - Alexey Tikhonov; Dmitry Sinyavin (CoRR, 2024)

PLUGH: A Benchmark for Spatial Understanding and Reasoning in Large Language Models. - Alexey Tikhonov (CoRR, 2024)

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

Evaluating Graph Generative Models with Graph Kernels: What Structural Characteristics Are Captured? - Martijn Gösgens; Alexey Tikhonov; Liudmila Prokhorenkova (Trans. Mach. Learn. Res., 2024)

Digital inequality in education: Features of manifestation and types of discrimination during COVID-19 pandemic. - Adrian Mikhailov; Alexey Tikhonov; Vladimir Fedulov (Educ. Inf. Technol., 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)