On computational complexity of length embeddability of graphs. - Mikhail Tikhomirov (Discret. Math., 2016)

News Timeline Generation: Accounting for Structural Aspects and Temporal Nature of News Stream. - Mikhail Tikhomirov; Boris V. Dobrov (DAMDID/RCDL (Selected Papers), 2017)

Формирование исторической справки по корпусу новостей с учетом структуры динамики развития новостного сюжета (Using News Corpora for Temporal Summary Formation). - Mikhail Tikhomirov; Boris V. Dobrov (DAMDID/RCDL, 2017)

On complexity of mutlidistance graph recognition in R1. - Mikhail Tikhomirov (CoRR, 2017)

On complexity of multidistance graph recognition in ℝ1. - Mikhail Tikhomirov (Electron. Notes Discret. Math., 2017)

Methods for Assessing Theme Adherence in Student Thesis. - Mikhail Tikhomirov; Natalia V. Loukachevitch; Boris V. Dobrov (TSD, 2019)

Using BERT and Augmentation in Named Entity Recognition for Cybersecurity Domain. - Mikhail Tikhomirov; Natalia V. Loukachevitch; Anastasiia Sirotina; Boris V. Dobrov (NLDB, 2020)

Domain-specific Taxonomy Enrichment Based on Meta-Embeddings. - Mikhail Tikhomirov; Natalia V. Loukachevitch (DAMDID/RCDL (Supplementary Proceedings), 2021)

Taxonomy enrichment with text and graph vector representations. - Irina Nikishina; Mikhail Tikhomirov; Varvara Logacheva; Yuriy Nazarov; Alexander Panchenko; Natalia V. Loukachevitch (Semantic Web, 2022)

Impact of Tokenization on LLaMa Russian Adaptation. - Mikhail Tikhomirov; Daniil Chernyshev (CoRR, 2023)

Exploring Prompt-Based Methods for Zero-Shot Hypernym Prediction with Large Language Models. - Mikhail Tikhomirov; Natalia V. Loukachevitch (CoRR, 2024)

Facilitating large language model Russian adaptation with Learned Embedding Propagation. - Mikhail Tikhomirov; Daniil Chernyshev (CoRR, 2024)

RuOpinionNE-2024: Extraction of Opinion Tuples from Russian News Texts. - Natalia V. Loukachevitch; Natalia Tkachenko; Anna Lapanitsyna; Mikhail Tikhomirov; Nicolay Rusnachenko (CoRR, 2025)

Building Russian Benchmark for Evaluation of Information Retrieval Models. - Grigory Kovalev; Mikhail Tikhomirov; Evgeny Kozhevnikov; Max Kornilov; Natalia V. Loukachevitch (CoRR, 2025)