RusNLP: Semantic Search Engine for Russian NLP Conference Papers. - Irina Nikishina; Amir Bakarov; Andrey Kutuzov (AIST, 2018)

Double-Blind Peer-Reviewing and Inclusiveness in Russian NLP Conferences. - Andrey Kutuzov; Irina Nikishina (AIST, 2019)

Deep JEDi: Deep Joint Entity Disambiguation to Wikipedia for Russian. - Andrey Sysoev; Irina Nikishina (AIST, 2019)

Semantic Recommendation System for Bilingual Corpus of Academic Papers. - Anna Safaryan; Petr Filchenkov; Weijia Yan; Andrey Kutuzov; Irina Nikishina (AIST (Supplement), 2020)

Studying Taxonomy Enrichment on Diachronic WordNet Versions. - Irina Nikishina; Varvara Logacheva; Alexander Panchenko; Natalia V. Loukachevitch (COLING, 2020)

RUSSE'2020: Findings of the First Taxonomy Enrichment Task for the Russian language. - Irina Nikishina; Varvara Logacheva; Alexander Panchenko; Natalia V. Loukachevitch (CoRR, 2020)

Taxonomy Enrichment with Text and Graph Vector Representation. - Irina Nikishina (AIST, 2021)

Evaluation of Taxonomy Enrichment on Diachronic WordNet Versions. - Irina Nikishina; Natalia V. Loukachevitch; Varvara Logacheva; Alexander Panchenko (GWC, 2021)

TaxFree: a Visualization Tool for Candidate-free Taxonomy Enrichment. - Irina Nikishina; Ivan Andrianov; Alsu Vakhitova; Alexander Panchenko (AACL/IJCNLP (System Demonstrations), 2022)

RuArg-2022: Argument Mining Evaluation. - Evgeny V. Kotelnikov; Natalia V. Loukachevitch; Irina Nikishina; Alexander Panchenko (CoRR, 2022)

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

Leveraging Taxonomic Information from Large Language Models for Hyponymy Prediction. - Polina Chernomorchenko; Alexander Panchenko; Irina Nikishina (AIST, 2023)

RuCAM: Comparative Argumentative Machine for the Russian Language. - Maria Maslova; Stefan Rebrikov; Anton Artsishevski; Sebastian Zaczek; Chris Biemann; Irina Nikishina (AIST, 2023)

Predicting Terms in IS-A Relations with Pre-trained Transformers. - Irina Nikishina; Polina Chernomorchenko; Anastasiia Demidova; Alexander Panchenko; Chris Biemann (IJCNLP (Findings), 2023)

Large Language Models Meet Knowledge Graphs to Answer Factoid Questions. - Mikhail Salnikov; Hai Le; Prateek Rajput; Irina Nikishina; Pavel Braslavski 001; Valentin Malykh; Alexander Panchenko (PACLIC, 2023)

TaxoLLaMA: WordNet-based Model for Solving Multiple Lexical Semantic Tasks. - Viktor Moskvoretskii; Ekaterina Neminova; Alina Lobanova; Alexander Panchenko; Irina Nikishina (ACL (1), 2024)

On Improving Repository-Level Code QA for Large Language Models. - Jan Strich; Florian Schneider 001; Irina Nikishina; Chris Biemann (ACL (Student Research Workshop), 2024)

Are Large Language Models Good at Lexical Semantics? A Case of Taxonomy Learning. - Viktor Moskvoretskii; Alexander Panchenko; Irina Nikishina (LREC/COLING, 2024)

CAM 2.0: End-to-End Open Domain Comparative Question Answering System. - Ahmad Shallouf; Hanna Herasimchyk; Mikhail Salnikov; Rudy Alexandro Garrido Veliz; Natia Mestvirishvili; Alexander Panchenko; Chris Biemann; Irina Nikishina (LREC/COLING, 2024)

Low-Resource Machine Translation through the Lens of Personalized Federated Learning. - Viktor Moskvoretskii; Nazarii Tupitsa; Chris Biemann; Samuel Horváth; Eduard Gorbunov; Irina Nikishina (EMNLP (Findings), 2024)

Extending the Comparative Argumentative Machine: Multilingualism and Stance Detection. - Irina Nikishina; Alexander Bondarenko 001; Sebastian Zaczek; Onno Lander Haag; Matthias Hagen; Chris Biemann (RATIO, 2024)

TaxoLLaMA: WordNet-based Model for Solving Multiple Lexical Sematic Tasks. - Viktor Moskvoretskii; Ekaterina Neminova; Alina Lobanova; Alexander Panchenko; Irina Nikishina (CoRR, 2024)

Wiping out the limitations of Large Language Models - A Taxonomy for Retrieval Augmented Generation. - Mahei Manhai Li; Irina Nikishina; Özge Sevgili; Martin Semmann (CoRR, 2024)

Adaptive Retrieval Without Self-Knowledge? Bringing Uncertainty Back Home. - Viktor Moskvoretskii; Maria Marina; Mikhail Salnikov; Nikolay Ivanov; Sergey Pletenev; Daria Galimzianova; Nikita Krayko; Vasily Konovalov; Irina Nikishina; Alexander Panchenko (ACL (1), 2025)

How to Compare Things Properly? A Study of Argument Relevance in Comparative Question Answering. - Irina Nikishina; Saba Anwar; Nikolay Dolgov; Maria Manina; Daria Ignatenko; Artem Shelmanov; Chris Biemann (ACL (1), 2025)

CompUGE-Bench: Comparative Understanding and Generation Evaluation Benchmark for Comparative Question Answering. - Ahmad Shallouf; Irina Nikishina; Chris Biemann (COLING (Demonstrations), 2025)

ESG-Consultant: Developing of an ESG Compliance Consulting Tool for Companies Using RAG. - Angel Ontiveros; Irina Nikishina; Moritz Gomm; Christopher Schmitt; Chris Biemann (NLDB (2), 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)

Adaptive Retrieval Without Self-Knowledge? Bringing Uncertainty Back Home. - Viktor Moskvoretskii; Maria Lysyuk; Mikhail Salnikov; Nikolay Ivanov; Sergey Pletenev; Daria Galimzianova; Nikita Krayko; Vasily Konovalov; Irina Nikishina; Alexander Panchenko (CoRR, 2025)

Argument-Based Comparative Question Answering Evaluation Benchmark. - Irina Nikishina; Saba Anwar; Nikolay Dolgov; Maria Manina; Daria Ignatenko; Viktor Moskvoretskii; Artem Shelmanov; Tim Baldwin; Chris Biemann (CoRR, 2025)

Self-Taught Self-Correction for Small Language Models. - Viktor Moskvoretskii; Chris Biemann; Irina Nikishina (CoRR, 2025)

Do I look like a 'cat.n.01' to you? A Taxonomy Image Generation Benchmark. - Viktor Moskvoretskii; Alina Lobanova; Ekaterina Neminova; Chris Biemann; Alexander Panchenko; Irina Nikishina (CoRR, 2025)