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)

Reproducing Russian NER Baseline Quality without Additional Data. - Valentin Malykh; Alexey Ozerin (CDUD@CLA, 2016)

Generalizable Architecture for Robust Word Vectors Tested by Noisy Paraphrases. - Valentin Malykh (AIST (Supplement), 2017)

DeepPavlov: Open-Source Library for Dialogue Systems. - Mikhail Burtsev 001; Alexander V. Seliverstov; Rafael Airapetyan; Mikhail Y. Arkhipov; Dilyara Baymurzina; Nickolay Bushkov; Olga Gureenkova; Taras Khakhulin; Yuri Kuratov; Denis Kuznetsov; Alexey Litinsky; Varvara Logacheva; et al. (ACL (4), 2018)

Robust Word Vectors: Context-Informed Embeddings for Noisy Texts. - Valentin Malykh; Varvara Logacheva; Taras Khakhulin (NUT@EMNLP, 2018)

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)

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

Robust to Noise Models in Natural Language Processing Tasks. - Valentin Malykh (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)

Combined Advertising Sign Classifier. - Valentin Malykh; Aleksei Samarin (AIST, 2019)

Self-attentive Model for Headline Generation. - Daniil Gavrilov; Pavel Kalaidin; Valentin Malykh (ECIR (2), 2019)

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

The Second Conversational Intelligence Challenge (ConvAI2). - Emily Dinan; Varvara Logacheva; Valentin Malykh; Alexander H. Miller; Kurt Shuster 001; Jack Urbanek; Douwe Kiela; Arthur Szlam; Iulian Serban; Ryan Lowe; Shrimai Prabhumoye; Alan W. Black; et al. (CoRR, 2019)

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

Ensemble-Based Commercial Buildings Facades Photographs Classifier. - Aleksei Samarin; Valentin Malykh (AIST, 2020)

Specialized Image Descriptors for Signboard Photographs Classification. - Aleksei Samarin; Valentin Malykh; Sergey Muravyov (DB&IS, 2020)

SumTitles: a Summarization Dataset with Low Extractiveness. - Valentin Malykh; Konstantin Chernis; Ekaterina Artemova; Irina Piontkovskaya (COLING, 2020)

RussianSuperGLUE: A Russian Language Understanding Evaluation Benchmark. - Tatiana Shavrina; Alena Fenogenova; Anton A. Emelyanov; Denis Shevelev; Ekaterina Artemova; Valentin Malykh; Vladislav Mikhailov; Maria Tikhonova; Andrey Chertok; Andrey Evlampiev (EMNLP (1), 2020)

Humans Keep It One Hundred: an Overview of AI Journey. - Tatiana Shavrina; Anton A. Emelyanov; Alena Fenogenova; Vadim Fomin; Vladislav Mikhailov; Andrey Evlampiev; Valentin Malykh; Vladimir Larin; Alex Natekin; Aleksandr Vatulin; Peter Romov; Daniil Anastasiev; et al. (LREC, 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)

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)

Building a Bilingual QA-system with ruGPT-3. - Tatiana Shavrina; Dina Pisarevskaya; Valentin Malykh (AIST, 2021)

Single Example Can Improve Zero-Shot Data Generation. - Pavel Burnyshev; Valentin Malykh; Andrey Bout; Ekaterina Artemova; Irina Piontkovskaya (INLG, 2021)

InFoBERT: Zero-Shot Approach to Natural Language Understanding Using Contextualized Word Embedding. - Pavel Burnyshev; Andrey Bout; Valentin Malykh; Irina Piontkovskaya (RANLP, 2021)

Multiple Teacher Distillation for Robust and Greener Models. - Artur Ilichev; Nikita Sorokin; Irina Piontkovskaya; Valentin Malykh (RANLP, 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)

MOROCCO: Model Resource Comparison Framework. - Valentin Malykh; Alexander Kukushkin; Ekaterina Artemova; Vladislav Mikhailov; Maria Tikhonova; Tatiana Shavrina (CoRR, 2021)

How not to Lie with a Benchmark: Rearranging NLP Leaderboards. - Tatiana Shavrina; Valentin Malykh (CoRR, 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)

Prior Segmentation and Attention Based Approach to Neoplasms Recognition by Single-Channel Monochrome Computer Tomography Snapshots. - Aleksei Samarin; Alexander Savelev; Aleksei Toropov; Alina Dzestelova; Valentin Malykh; Elena Mikhailova; Alexandr Motyko (ICPR Workshops (2), 2022)

The Complete Study of the Movement Strategies of Trained Agents for Visual Descriptors of Advertising Signs. - Aleksei Samarin; Alexander Savelev; Aleksei Toropov; Alina Dzestelova; Valentin Malykh; Elena Mikhailova; Alexandr Motyko (ICPR Workshops (2), 2022)

Ask Me Anything in Your Native Language. - Nikita Sorokin; Dmitry Abulkhanov; Irina Piontkovskaya; Valentin Malykh (NAACL-HLT, 2022)

Russian SuperGLUE 1.1: Revising the Lessons not Learned by Russian NLP models. - Alena Fenogenova; Maria Tikhonova; Vladislav Mikhailov; Tatiana Shavrina; Anton A. Emelyanov; Denis Shevelev; Alexander Kukushkin; Valentin Malykh; Ekaterina Artemova (CoRR, 2022)

WikiMulti: a Corpus for Cross-Lingual Summarization. - Pavel Tikhonov; Valentin Malykh (CoRR, 2022)

Template-based Approach to Zero-shot Intent Recognition. - Dmitry Lamanov; Pavel Burnyshev; Ekaterina Artemova; Valentin Malykh; Andrey Bout; Irina Piontkovskaya (CoRR, 2022)

A System for Answering Simple Questions in Multiple Languages. - Anton Razzhigaev; Mikhail Salnikov; Valentin Malykh; Pavel Braslavski 001; Alexander Panchenko (ACL (demo), 2023)

User Review Summarization in Russian. - Artem Prisiazhniuk; Valentin Malykh (AIST (Supplement), 2023)

Answer Candidate Type Selection: Text-To-Text Language Model for Closed Book Question Answering Meets Knowledge Graphs. - Mikhail Salnikov; Maria Lysyuk; Pavel Braslavski 001; Anton Razzhigaev; Valentin Malykh; Alexander Panchenko (KONVENS, 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)

LAPCA: Language-Agnostic Pretraining with Cross-Lingual Alignment. - Dmitry Abulkhanov; Nikita Sorokin; Sergey I. Nikolenko; Valentin Malykh (SIGIR, 2023)

CCT-Code: Cross-Consistency Training for Multilingual Clone Detection and Code Search. - Nikita Sorokin; Dmitry Abulkhanov; Sergey I. Nikolenko; Valentin Malykh (CoRR, 2023)

Ad astra or astray: Exploring linguistic knowledge of multilingual BERT through NLI task. - Maria Tikhonova; Vladislav Mikhailov; Dina Pisarevskaya; Valentin Malykh; Tatiana Shavrina (Nat. Lang. Eng., 2023)

Ad astra or astray: Exploring linguistic knowledge of multilingual BERT through NLI task - CORRIGENDUM. - Maria Tikhonova; Vladislav Mikhailov; Dina Pisarevskaya; Valentin Malykh; Tatiana Shavrina (Nat. Lang. Eng., 2023)

Cross-Language Summarization in Russian and Chinese Using the Reinforcement Learning. - Liao Xin; Daria Liutova; Valentin Malykh (AIST, 2024)

Searching by Code: A New SearchBySnippet Dataset and SnippeR Retrieval Model for Searching by Code Snippets. - Ivan Sedykh; Nikita Sorokin; Dmitry Abulkhanov; Sergey I. Nikolenko; Valentin Malykh (LREC/COLING, 2024)

Filter-Based Preprocessing Neural Network Model for Microorganism Detection Improvement. - Aleksei Samarin; Aleksei Toropov; Alexander Savelev; Aleksandra Dozortseva; Alexander Motyko; Egor Kotenko; Artem A. Nazarenko; Alina Dzestelova; Elena Mikhailova; Valentin Malykh (ICPR (Workshops and Challenges, 3), 2024)

Custom Descriptors Applications for Endoscopy Images Classification. - Aleksei Samarin; Aleksei Toropov; Alexander Savelev; Egor Kotenko; Artem A. Nazarenko; Alexander Motyko; Alina Dzestelova; Elena Mikhailova; Aleksandra Dozortseva; Valentin Malykh (ICPR (Workshops and Challenges, 3), 2024)

SumHiS: Extractive Summarization Exploiting Hidden Structure. - Pavel Tikhonov; Anastasiya Ianina; Valentin Malykh (CoRR, 2024)

Iterative Self-training for Code Generation via Reinforced Re-ranking. - Nikita Sorokin; Ivan Sedykh; Valentin Malykh (ECIR (3), 2025)

Low-resource Machine Translation for Code-switched Kazakh-Russian Language Pair. - Maksim Borisov; Zhanibek Kozhirbayev; Valentin Malykh (NAACL (Student Research Workshop), 2025)

CCT-Code: Cross-Consistency Training for Multilingual Clone Detection and Code Search. - Nikita Sorokin; Tikhonov Anton; Dmitry Abulkhanov; Ivan Sedykh; Irina Piontkovskaya; Valentin Malykh (NAACL (Student Research Workshop), 2025)

ReplaceMe: Network Simplification via Layer Pruning and Linear Transformations. - Dmitriy Shopkhoev; Ammar Ali; Magauiya Zhussip; Valentin Malykh; Stamatios Lefkimmiatis; Nikos Komodakis; Sergey Zagoruyko (CoRR, 2025)

StRuCom: A Novel Dataset of Structured Code Comments in Russian. - Maria Dziuba; Valentin Malykh (CoRR, 2025)

CIDRe: A Reference-Free Multi-Aspect Criterion for Code Comment Quality Measurement. - Maria Dziuba; Valentin Malykh (CoRR, 2025)

DRAGON: Dynamic RAG Benchmark On News. - Fedor Chernogorskii; Sergej Averkiev; Liliya Kudraleeva; Zaven Martirosian; Maria Tikhonova; Valentin Malykh; Alena Fenogenova (CoRR, 2025)

SWE-MERA: A Dynamic Benchmark for Agenticly Evaluating Large Language Models on Software Engineering Tasks. - Pavel Adamenko; Mikhail Ivanov; Aidar Valeev; Rodion Levichev; Pavel Zadorozhny; Ivan Lopatin; Dmitry Babayev; Alena Fenogenova; Valentin Malykh (CoRR, 2025)

MERA Code: A Unified Framework for Evaluating Code Generation Across Tasks. - Artem Chervyakov; Alexander Kharitonov; Pavel Zadorozhny; Adamenko Pavel; Rodion Levichev; Dmitrii Vorobev; Dmitrii Salikhov; Aidar Valeev; Alena Pestova; Maria Dziuba; Ilseyar Alimova; Artem Zavgorodnev; et al. (CoRR, 2025)

AINL-Eval 2025 Shared Task: Detection of AI-Generated Scientific Abstracts in Russian. - Tatiana Batura; Elena Bruches; Milana Shvenk; Valentin Malykh (CoRR, 2025)