Clause-Based Approach to Extracting Problem Phrases from User Reviews of Products. - Vladimir Ivanov 001; Elena Tutubalina (AIST, 2014)

Target-Based Topic Model for Problem Phrase Extraction. - Elena Tutubalina (ECIR, 2015)

Inferring Sentiment-Based Priors in Topic Models. - Elena Tutubalina; Sergey I. Nikolenko (MICAI (2), 2015)

Clustering-based Approach to Multiword Expression Extraction and Ranking. - Elena Tutubalina (MWE@NAACL-HLT, 2015)

Dependency-Based Problem Phrase Extraction from User Reviews of Products. - Elena Tutubalina (TSD, 2015)

Sentiment classification of reviews and twitter posts based on dictionaries. - Elena Tutubalina; Vladimir Ivanov 001; Mariya Zagulova; Nikita Mingazov; Ilseyar Alimova; Valentin Malykh (Russ. Digit. Libr. J., 2015)

Constructing Aspect-Based Sentiment Lexicons with Topic Modeling. - Elena Tutubalina; Sergey I. Nikolenko (AIST, 2016)

Identifying Product Failures from Reviews in Noisy Data by Distant Supervision. - Elena Tutubalina (KESW, 2016)

Automated Prediction of Demographic Information from Medical User Reviews. - Elena Tutubalina; Sergey I. Nikolenko (MIKE, 2016)

A Sentiment-Aware Topic Model for Extracting Failures from Product Reviews. - Elena Tutubalina (TSD, 2016)

Mining Complaints to Improve a Product: a Study about Problem Phrase Extraction from User Reviews. - Elena Tutubalina (WSDM, 2016)

Automated Detection of Adverse Drug Reactions from Social Media Posts with Machine Learning. - Ilseyar Alimova; Elena Tutubalina (AIST, 2017)

KFU at CLEF eHealth 2017 Task 1: ICD-10 Coding of English Death Certificates with Recurrent Neural Networks. - Zulfat Miftahutdinov; Elena Tutubalina (CLEF (Working Notes), 2017)

Deep Learning for ICD Coding: Looking for Medical Concepts in Clinical Documents in English and in French. - Zulfat Miftahutdinov; Elena Tutubalina (CLEF, 2017)

An Encoder-Decoder Model for ICD-10 Coding of Death Certificates. - Elena Tutubalina; Zulfat Miftahutdinov (CoRR, 2017)

Demographic Prediction Based on User Reviews about Medications. - Elena Tutubalina; Sergey I. Nikolenko (Computación y Sistemas, 2017)

Sequence Learning with RNNs for Medical Concept Normalization in User-Generated Texts. - Elena Tutubalina; Zulfat Miftahutdinov; Sergey I. Nikolenko; Valentin Malykh (CoRR, 2018)

Medical concept normalization in social media posts with recurrent neural networks. - Elena Tutubalina; Zulfat Miftahutdinov; Sergey I. Nikolenko; Valentin Malykh (J. Biomed. Informatics, 2018)

Exploring convolutional neural networks and topic models for user profiling from drug reviews. - Elena Tutubalina; Sergey I. Nikolenko (Multim. Tools Appl., 2018)

Report on the 12th Russian Summer School in Information Retrieval (RuSSIR 2018). - Yelena Mejova; Ekaterina Chernyak; Elena Tutubalina; Pavel Braslavski 001 (SIGIR Forum, 2018)

Entity-level Classification of Adverse Drug Reactions: a Comparison of Neural Network Models. - Ilseyar Alimova; Elena Tutubalina (WNLP@ACL, 2019)

AspeRa: Aspect-Based Rating Prediction Based on User Reviews. - Elena Tutubalina; Valentin Malykh; Sergey I. Nikolenko; Anton Alekseev 001; Ilya Shenbin (WNLP@ACL, 2019)

Detecting Adverse Drug Reactions from Biomedical Texts with Neural Networks. - Ilseyar Alimova; Elena Tutubalina (ACL (2), 2019)

Deep Neural Models for Medical Concept Normalization in User-Generated Texts. - Zulfat Miftahutdinov; Elena Tutubalina (ACL (2), 2019)

Wear the Right Head: Comparing Strategies for Encoding Sentences for Aspect Extraction. - Valentin Malykh; Anton Alekseev 001; Elena Tutubalina; Ilya Shenbin; Sergey I. Nikolenko (AIST, 2019)

Biomedical Entities Impact on Rating Prediction for Psychiatric Drugs. - Elena Tutubalina; Ilseyar Alimova; Valery D. Solovyev (AIST, 2019)

AspeRa: Aspect-Based Rating Prediction Model. - Sergey I. Nikolenko; Elena Tutubalina; Valentin Malykh; Ilya Shenbin; Anton Alekseev 001 (ECIR (2), 2019)

Comparative analysis of context representation models in the relation extraction task from biomedical texts. - Ilseyar Alimova; Elena Tutubalina (ITTCS, 2019)

Distant Supervision for Sentiment Attitude Extraction. - Nicolay Rusnachenko; Natalia V. Loukachevitch; Elena Tutubalina (RANLP, 2019)

A Comparative Study on Feature Selection in Relation Extraction from Electronic Health Records. - Ilseyar Alimova; Elena Tutubalina (DAMDID/RCDL, 2019)

KFU NLP Team at SMM4H 2019 Tasks: Want to Extract Adverse Drugs Reactions from Tweets? BERT to The Rescue. - Zulfat Miftahutdinov; Ilseyar Alimova; Elena Tutubalina (SMM4H@ACL, 2019)

CommentsRadar: Dive into Unique Data on All Comments on the Web. - Sergey I. Nikolenko; Elena Tutubalina; Zulfat Miftahutdinov; Eugene Beloded (CoRR, 2019)

Entity-Level Classification of Adverse Drug Reaction: A Comparative Analysis of Neural Network Models. - Ilseyar Alimova; Elena Tutubalina (Program. Comput. Softw., 2019)

RuREBus: A Case Study of Joint Named Entity Recognition and Relation Extraction from E-Government Domain. - Vitaly Ivanin; Ekaterina Artemova; Tatiana Batura; Vladimir Ivanov 001; Veronika Sarkisyan; Elena Tutubalina; Ivan Smurov (AIST, 2020)

Generating Sport Summaries: A Case Study for Russian. - Valentin Malykh; Denis Porplenko; Elena Tutubalina (AIST, 2020)

Ad Lingua: Text Classification Improves Symbolism Prediction in Image Advertisements. - Andrey V. Savchenko; Anton Alekseev 001; Sejeong Kwon; Elena Tutubalina; Evgeny Myasnikov; Sergey I. Nikolenko (COLING, 2020)

Fair Evaluation in Concept Normalization: a Large-scale Comparative Analysis for BERT-based Models. - Elena Tutubalina; Artur Kadurin; Zulfat Miftahutdinov (COLING, 2020)

Topic Modeling as a Method of Educational Text Structuring. - Andrey Sakhovskiy; Elena Tutubalina; Valery D. Solovyev; Marina Solnyshkina (DeSE, 2020)

On Biomedical Named Entity Recognition: Experiments in Interlingual Transfer for Clinical and Social Media Texts. - Zulfat Miftahutdinov; Ilseyar Alimova; Elena Tutubalina (ECIR (2), 2020)

Overview of the Fifth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2020. - Ari Z. Klein; Ilseyar Alimova; Ivan Flores; Arjun Magge; Zulfat Miftahutdinov; Anne-Lyse Minard; Karen O'Connor; Abeed Sarker; Elena Tutubalina; Davy Weissenbacher; Graciela Gonzalez-Hernandez (SMM4H@COLING, 2020)

KFU NLP Team at SMM4H 2020 Tasks: Cross-lingual Transfer Learning with Pretrained Language Models for Drug Reactions. - Zulfat Miftahutdinov; Andrey Sakhovskiy; Elena Tutubalina (SMM4H@COLING, 2020)

RecVAE: A New Variational Autoencoder for Top-N Recommendations with Implicit Feedback. - Ilya Shenbin; Anton Alekseev 001; Elena Tutubalina; Valentin Malykh; Sergey I. Nikolenko (WSDM, 2020)

So What's the Plan? Mining Strategic Planning Documents. - Ekaterina Artemova; Tatiana Batura; Anna Golenkovskaya; Vitaly Ivanin; Vladimir Ivanov 001; Veronika Sarkisyan; Ivan Smurov; Elena Tutubalina (CoRR, 2020)

Multiple features for clinical relation extraction: A machine learning approach. - Ilseyar Alimova; Elena Tutubalina (J. Biomed. Informatics, 2020)

Improving unsupervised neural aspect extraction for online discussions using out-of-domain classification. - Anton Alekseev 001; Elena Tutubalina; Valentin Malykh; Sergey I. Nikolenko (J. Intell. Fuzzy Syst., 2020)

Near-Zero-Shot Suggestion Mining with a Little Help from WordNet. - Anton Alekseev 001; Elena Tutubalina; Sejeong Kwon; Sergey I. Nikolenko (AIST, 2021)

Selection of Pseudo-Annotated Data for Adverse Drug Reaction Classification Across Drug Groups. - Ilseyar Alimova; Elena Tutubalina (AIST, 2021)

Drug and Disease Interpretation Learning with Biomedical Entity Representation Transformer. - Zulfat Miftahutdinov; Artur Kadurin; Roman Kudrin; Elena Tutubalina (ECIR (1), 2021)

NEREL: A Russian Dataset with Nested Named Entities, Relations and Events. - Natalia V. Loukachevitch; Ekaterina Artemova; Tatiana Batura; Pavel Braslavski 001; Ilia Denisov; Vladimir Ivanov 001; Suresh Manandhar; Alexander Pugachev; Elena Tutubalina (RANLP, 2021)

Overview of the Sixth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at NAACL 2021. - Arjun Magge; Ari Z. Klein; Antonio Miranda-Escalada; Mohammed Ali Al-Garadi; Ilseyar Alimova; Zulfat Miftahutdinov; Eulàlia Farré; Salvador Lima-López; Ivan Flores; Karen O'Connor; Davy Weissenbacher; Elena Tutubalina; et al. (SMM4H@NAACL-HLT, 2021)

KFU NLP Team at SMM4H 2021 Tasks: Cross-lingual and Cross-modal BERT-based Models for Adverse Drug Effects. - Andrey Sakhovskiy; Zulfat Miftahutdinov; Elena Tutubalina (SMM4H@NAACL-HLT, 2021)

Medical concept normalization in clinical trials with drug and disease representation learning. - Zulfat Miftahutdinov; Artur Kadurin; Roman Kudrin; Elena Tutubalina (Bioinform., 2021)

The Russian Drug Reaction Corpus and neural models for drug reactions and effectiveness detection in user reviews. - Elena Tutubalina; Ilseyar Alimova; Zulfat Miftahutdinov; Andrey Sakhovskiy; Valentin Malykh; Sergey I. Nikolenko (Bioinform., 2021)

NEREL: A Russian Dataset with Nested Named Entities and Relations. - Natalia V. Loukachevitch; Ekaterina Artemova; Tatiana Batura; Pavel Braslavski 001; Ilia Denisov; Vladimir Ivanov 001; Suresh Manandhar; Alexander Pugachev; Elena Tutubalina (CoRR, 2021)

Many Heads but One Brain: an Overview of Fusion Brain Challenge on AI Journey 2021. - Daria Bakshandaeva; Denis Dimitrov; Alex Shonenkov; Mark Potanin; Vladimir Arkhipkin; Denis Karachev; Vera Davydova; Anton Voronov; Mikhail Martynov; Natalia Semenova; Mikhail Stepnov; Elena Tutubalina; et al. (CoRR, 2021)

DeepADEMiner: a deep learning pharmacovigilance pipeline for extraction and normalization of adverse drug event mentions on Twitter. - Arjun Magge; Elena Tutubalina; Zulfat Miftahutdinov; Ilseyar Alimova; Anne Dirkson; Suzan Verberne; Davy Weissenbacher; Graciela Gonzalez-Hernandez (J. Am. Medical Informatics Assoc., 2021)

DetIE: Multilingual Open Information Extraction Inspired by Object Detection. - Michael Vasilkovsky; Anton Alekseev 001; Valentin Malykh; Ilya Shenbin; Elena Tutubalina; Dmitriy Salikhov; Mikhail Stepnov; Andrey Chertok; Sergey I. Nikolenko (AAAI, 2022)

RuCCoN: Clinical Concept Normalization in Russian. - Alexandr Nesterov; Galina Zubkova; Zulfat Miftahutdinov; Vladimir Kokh; Elena Tutubalina; Artem Shelmanov; Anton Alekseev 001; Manvel Avetisian; Andrey Chertok; Sergey I. Nikolenko (ACL (Findings), 2022)

SMM4H 2022 Task 2: Dataset for stance and premise detection in tweets about health mandates related to COVID-19. - Vera Davydova; Elena Tutubalina (SMM4H@COLING, 2022)

Overview of the Seventh Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2022. - Davy Weissenbacher; Juan M. Banda; Vera Davydova; Darryl Estrada-Zavala; Luis Gascó Sánchez; Yao Ge 003; Yuting Guo; Ari Z. Klein; Martin Krallinger; Mathias Leddin; Arjun Magge; Raul Rodriguez-Esteban; et al. (SMM4H@COLING, 2022)

PAUQ: Text-to-SQL in Russian. - Daria Bakshandaeva; Oleg Somov; Ekaterina Dmitrieva; Vera Davydova; Elena Tutubalina (EMNLP (Findings), 2022)

A Comprehensive Evaluation of Biomedical Entity-centric Search. - Elena Tutubalina; Zulfat Miftahutdinov; Vladimir Muravlev; Anastasia Shneyderman (EMNLP (Industry Track), 2022)

Medical Crossing: a Cross-lingual Evaluation of Clinical Entity Linking. - Anton Alekseev 001; Zulfat Miftahutdinov; Elena Tutubalina; Artem Shelmanov; Vladimir Ivanov 001; Vladimir Kokh; Alexandr Nesterov; Manvel Avetisian; Andrey Chertok; Sergey I. Nikolenko (LREC, 2022)

Entity Linking over Nested Named Entities for Russian. - Natalia V. Loukachevitch; Pavel Braslavski 001; Vladimir Ivanov 001; Tatiana Batura; Suresh Manandhar; Artem Shelmanov; Elena Tutubalina (LREC, 2022)

Cross-Domain Limitations of Neural Models on Biomedical Relation Classification. - Ilseyar Alimova; Elena Tutubalina; Sergey I. Nikolenko (IEEE Access, 2022)

RuNNE-2022 Shared Task: Recognizing Nested Named Entities. - Ekaterina Artemova; Maxim Zmeev; Natalia V. Loukachevitch; Igor Rozhkov; Tatiana Batura; Vladimir Ivanov 001; Elena Tutubalina (CoRR, 2022)

Findings of the The RuATD Shared Task 2022 on Artificial Text Detection in Russian. - Tatiana Shamardina; Vladislav Mikhailov; Daniil Cherniavskii; Alena Fenogenova; Marat Saidov; Anastasiya Valeeva; Tatiana Shavrina; Ivan Smurov; Elena Tutubalina; Ekaterina Artemova (CoRR, 2022)

Multimodal model with text and drug embeddings for adverse drug reaction classification. - Andrey Sakhovskiy; Elena Tutubalina (J. Biomed. Informatics, 2022)

Graph-Enriched Biomedical Entity Representation Transformer. - Andrey Sakhovskiy; Natalia Semenova; Artur Kadurin; Elena Tutubalina (CLEF, 2023)

Vote'n'Rank: Revision of Benchmarking with Social Choice Theory. - Mark Rofin; Vladislav Mikhailov; Mikhail Florinsky; Andrey Kravchenko; Tatiana Shavrina; Elena Tutubalina; Daniel Karabekyan; Ekaterina Artemova (EACL, 2023)

Gradual Optimization Learning for Conformational Energy Minimization. - Artem Tsypin; Leonid Ugadiarov; Kuzma Khrabrov; Manvel Avetisian; Alexander Telepov; Egor Rumiantsev; Alexey Skrynnik; Aleksandr I. Panov; Dmitry P. Vetrov; Elena Tutubalina; Artur Kadurin (CoRR, 2023)

nach0: Multimodal Natural and Chemical Languages Foundation Model. - Micha Livne; Zulfat Miftahutdinov; Elena Tutubalina; Maksim Kuznetsov; Daniil Polykovskiy; Annika Brundyn; Aastha Jhunjhunwala; Anthony Costa; Alex Aliper; Alex Zhavoronkov (CoRR, 2023)

NEREL-BIO: a dataset of biomedical abstracts annotated with nested named entities. - Natalia V. Loukachevitch; Suresh Manandhar; Elina Baral; Igor Rozhkov; Pavel Braslavski 001; Vladimir Ivanov 001; Tatiana Batura; Elena Tutubalina (Bioinform., 2023)

Cross-Lingual Transfer Learning in Drug-Related Information Extraction from User-Generated Texts. - Andrey Sakhovskiy; Elena Tutubalina (Program. Comput. Softw., 2023)

AIRI NLP Team at EHRSQL 2024 Shared Task: T5 and Logistic Regression to the Rescue. - Oleg Somov; Alexey Dontsov; Elena Tutubalina (ClinicalNLP@NAACL, 2024)

HSE NLP Team at MEDIQA-CORR 2024 Task: In-Prompt Ensemble with Entities and Knowledge Graph for Medical Error Correction. - Airat Valiev; Elena Tutubalina (ClinicalNLP@NAACL, 2024)

MMCP Team at ImageCLEFmed MEDVQA-GI 2024 Task: Diffusion Models for Text-to-Image Generation of Colonoscopy Images. - Mikhail Chaichuk; Elena Tutubalina (CLEF (Working Notes), 2024)

Overview of BioNNE Task on Biomedical Nested Named Entity Recognition at BioASQ 2024. - Vera Davydova; Natalia V. Loukachevitch; Elena Tutubalina (CLEF (Working Notes), 2024)

Overview of BioASQ 2024: The Twelfth BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering. - Anastasios Nentidis; Georgios Katsimpras; Anastasia Krithara; Salvador Lima-López; Eulàlia Farré-Maduell; Martin Krallinger; Natalia V. Loukachevitch; Vera Davydova; Elena Tutubalina; Georgios Paliouras (CLEF (2), 2024)

Biomedical Concept Normalization over Nested Entities with Partial UMLS Terminology in Russian. - Natalia V. Loukachevitch; Andrey Sakhovskiy; Elena Tutubalina (LREC/COLING, 2024)

BioASQ at CLEF2024: The Twelfth Edition of the Large-Scale Biomedical Semantic Indexing and Question Answering Challenge. - Anastasios Nentidis; Anastasia Krithara; Georgios Paliouras; Martin Krallinger; Luis Gascó Sánchez; Salvador Lima-López; Eulàlia Farré; Natalia V. Loukachevitch; Vera Davydova; Elena Tutubalina (ECIR (5), 2024)

Lost in Translation: Chemical Language Models and the Misunderstanding of Molecule Structures. - Veronika Ganeeva; Andrey Sakhovskiy; Kuzma Khrabrov; Andrey V. Savchenko; Artur Kadurin; Elena Tutubalina (EMNLP (Findings), 2024)

Chemical Language Models Have Problems with Chemistry: A Case Study on Molecule Captioning Task. - Veronika Ganeeva; Kuzma Khrabrov; Artur Kadurin; Andrey V. Savchenko; Elena Tutubalina (Tiny Papers @ ICLR, 2024)

Gradual Optimization Learning for Conformational Energy Minimization. - Artem Tsypin; Leonid Ugadiarov; Kuzma Khrabrov; Alexander Telepov; Egor Rumiantsev; Alexey Skrynnik; Aleksandr Panov; Dmitry P. Vetrov; Elena Tutubalina; Artur Kadurin (ICLR, 2024)

Biomedical Entity Representation with Graph-Augmented Multi-Objective Transformer. - Andrey Sakhovskiy; Natalia Semenova; Artur Kadurin; Elena Tutubalina (NAACL-HLT (Findings), 2024)

$ nabla^2$DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials. - Kuzma Khrabrov; Anton Ber; Artem Tsypin; Konstantin Ushenin; Egor Rumiantsev; Alexander Telepov; Dmitry Protasov; Ilya Shenbin; Anton Alekseev 001; Mikhail Shirokikh; Sergey I. Nikolenko; Elena Tutubalina; et al. (NeurIPS, 2024)

∇2DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials. - Kuzma Khrabrov; Anton Ber; Artem Tsypin; Konstantin Ushenin; Egor Rumiantsev; Alexander Telepov; Dmitry Protasov; Ilya Shenbin; Anton Alekseev 001; Mikhail Shirokikh; Sergey I. Nikolenko; Elena Tutubalina; et al. (CoRR, 2024)

Call for papers: Special issue on biomedical multimodal large language models - novel approaches and applications. - Jiang Bian 001; Yifan Peng 002; Eneida A. Mendonça; Imon Banerjee; Hua Xu 001; Hong Sun; Ye Ye; Casey Overby Taylor; Anália Maria Garcia Lourenço; Alejandro Rodríguez González; Elena Tutubalina (J. Biomed. Informatics, 2024)

The overview of the BioRED (Biomedical Relation Extraction Dataset) track at BioCreative VIII. - Rezarta Islamaj; Po-Ting Lai; Chih-Hsuan Wei; Ling Luo 001; Tiago Melo Almeida; Richard A. A. Jonker; Sofia I R. Conceição; Diana F. Sousa; Cong-Phuoc Phan; Jung-Hsien Chiang; Jiru Li; Dinghao Pan; et al. (Database J. Biol. Databases Curation, 2024)

Data and models for stance and premise detection in COVID-19 tweets: Insights from the Social Media Mining for Health (SMM4H) 2022 shared task. - Vera Davydova; Huabin Yang; Elena Tutubalina (J. Biomed. Informatics, 2024)

NEREL: a Russian information extraction dataset with rich annotation for nested entities, relations, and wikidata entity links. - Natalia V. Loukachevitch; Ekaterina Artemova; Tatiana Batura; Pavel Braslavski 001; Vladimir Ivanov 001; Suresh Manandhar; Alexander Pugachev; Igor Rozhkov; Artem Shelmanov; Elena Tutubalina; Alexey Yandutov (Lang. Resour. Evaluation, 2024)

nach0-pc: Multi-task Language Model with Molecular Point Cloud Encoder. - Maksim Kuznetsov; Airat Valiev; Alex Aliper; Daniil Polykovskiy; Elena Tutubalina; Rim Shayakhmetov; Zulfat Miftahutdinov (AAAI, 2025)

Confidence Estimation for Error Detection in Text-to-SQL Systems. - Oleg Somov; Elena Tutubalina (AAAI, 2025)

CLEAR: Character Unlearning in Textual and Visual Modalities. - Alexey Dontsov; Dmitrii Korzh; Alexey Zhavoronkin; Boris Mikheev; Denis Bobkov; Aibek Alanov; Oleg Rogov; Ivan V. Oseledets; Elena Tutubalina (ACL (Findings), 2025)

Overview of BioASQ 2025: The Thirteenth BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering. - Anastasios Nentidis; Georgios Katsimpras; Anastasia Krithara; Martin Krallinger; Miguel Rodríguez-Ortega; Eduard Rodriguez-López; Natalia V. Loukachevitch; Andrey Sakhovskiy; Elena Tutubalina; Dimitris Dimitriadis; Grigorios Tsoumakas; George Giannakoulas; et al. (CLEF, 2025)

BioASQ at CLEF2025: The Thirteenth Edition of the Large-Scale Biomedical Semantic Indexing and Question Answering Challenge. - Anastasios Nentidis; Georgios Katsimpras; Anastasia Krithara; Martin Krallinger; Miguel Rodríguez-Ortega; Natalia V. Loukachevitch; Andrey Sakhovskiy; Elena Tutubalina; Grigorios Tsoumakas; George Giannakoulas; Alexandra Bekiaridou; Athanasios Samaras; et al. (ECIR (5), 2025)

SynthDetoxM: Modern LLMs are Few-Shot Parallel Detoxification Data Annotators. - Daniil Moskovskiy; Nikita Sushko; Sergey Pletenev; Elena Tutubalina; Alexander Panchenko (NAACL (Long Papers), 2025)

SkipCLM: Enhancing Crosslingual Alignment of Decoder Transformer Models via Contrastive Learning and Skip Connection. - Nikita Sushko; Alexander Panchenko; Elena Tutubalina (NAACL (Student Research Workshop), 2025)

The Benefits of Query-Based KGQA Systems for Complex and Temporal Questions in LLM Era. - Artem Alekseev; Mikhail Chaichuk; Miron Butko; Alexander Panchenko; Elena Tutubalina; Oleg Somov (NLDB (1), 2025)

ShortPathQA: A Dataset for Controllable Fusion of Large Language Models with Knowledge Graphs. - Mikhail Salnikov; Andrey Sakhovskiy; Irina Nikishina; Aida Usmanova; Angelie Kraft; Cedric Möller; Debayan Banerjee; Junbo Huang; Longquan Jiang 001; Rana Abdullah; Xi Yan 001; Elena Tutubalina; et al. (NLDB (1), 2025)

BALI: Enhancing Biomedical Language Representations through Knowledge Graph and Language Model Alignment. - Andrey Sakhovskiy; Elena Tutubalina (SIGIR, 2025)

RuCCoD: Towards Automated ICD Coding in Russian. - Aleksandr Nesterov; Andrey Sakhovskiy; Ivan Sviridov; Airat Valiev; Vladimir Makharev; Petr Anokhin; Galina Zubkova; Elena Tutubalina (CoRR, 2025)

I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders. - Andrey V. Galichin; Alexey Dontsov; Polina Druzhinina; Anton Razzhigaev; Oleg Y. Rogov; Elena Tutubalina; Ivan V. Oseledets (CoRR, 2025)

Prompt to Polyp: Medical Text-Conditioned Image Synthesis with Diffusion Models. - Mikhail Chaichuk; Sushant Gautam; Steven Hicks; Elena Tutubalina (CoRR, 2025)

One Task Vector is not Enough: A Large-Scale Study for In-Context Learning. - Pavel Tikhonov; Ivan V. Oseledets; Elena Tutubalina (CoRR, 2025)

Geopolitical biases in LLMs: what are the "good" and the "bad" countries according to contemporary language models. - Mikhail Salnikov; Dmitrii Korzh; Ivan Lazichny; Elvir Karimov; Artyom Iudin; Ivan V. Oseledets; Oleg Y. Rogov; Natalia V. Loukachevitch; Alexander Panchenko; Elena Tutubalina (CoRR, 2025)

Team Anotheroption at SemEval-2025 Task 8: Bridging the Gap Between Open-Source and Proprietary LLMs in Table QA. - Nikolas Evkarpidi; Elena Tutubalina (CoRR, 2025)