Alena Fenogenova

Orcid: 0000-0003-3139-1668

According to our database1, Alena Fenogenova authored at least 31 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
FiMMIA: scaling semantic perturbation-based membership inference across modalities.
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

Multimodal Evaluation of Russian-language Architectures.
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

DRAGOn: Designing RAG On Periodically Updated Corpus.
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025
MERA Code: A Unified Framework for Evaluating Code Generation Across Tasks.
CoRR, July, 2025

SWE-MERA: A Dynamic Benchmark for Agenticly Evaluating Large Language Models on Software Engineering Tasks.
CoRR, July, 2025

DRAGON: Dynamic RAG Benchmark On News.
CoRR, July, 2025

Eye of Judgement: Dissecting the Evaluation of Russian-speaking LLMs with POLLUX.
CoRR, May, 2025

REPA: Russian Error Types Annotation for Evaluating Text Generation and Judgment Capabilities.
CoRR, March, 2025

MMTEB: Massive Multilingual Text Embedding Benchmark.
CoRR, February, 2025

The Russian-focused embedders' exploration: ruMTEB benchmark and Russian embedding model design.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Generation of Russian Poetry of Different Genres and Styles Using Neural Networks with Character-Level Tokenization.
Proceedings of the 9th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, 2025

2Columns1Row: A Russian Benchmark for Textual and Multimodal Table Understanding and Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

SWE-MERA: A Dynamic Benchmark for Agenticly Evaluating Large Language Models on Software Engineering Tasks.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025


2024
mGPT: Few-Shot Learners Go Multilingual.
Trans. Assoc. Comput. Linguistics, 2024

The Russian-focused embedders' exploration: ruMTEB benchmark and Russian embedding model design.
CoRR, 2024

Long Input Benchmark for Russian Analysis.
CoRR, 2024

MERA: A Comprehensive LLM Evaluation in Russian.
CoRR, 2024

RuBLiMP: Russian Benchmark of Linguistic Minimal Pairs.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

A Methodology for Generative Spelling Correction via Natural Spelling Errors Emulation across Multiple Domains and Languages.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

A Family of Pretrained Transformer Language Models for Russian.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024


2023
A Family of Pretrained Transformer Language Models for Russian.
CoRR, 2023

2022
Findings of the The RuATD Shared Task 2022 on Artificial Text Detection in Russian.
CoRR, 2022

RuCLIP - new models and experiments: a technical report.
CoRR, 2022

Russian SuperGLUE 1.1: Revising the Lessons not Learned by Russian NLP models.
CoRR, 2022

TAPE: Assessing Few-shot Russian Language Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2020
Humans Keep It One Hundred: an Overview of AI Journey.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

RussianSuperGLUE: A Russian Language Understanding Evaluation Benchmark.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Read and Reason with MuSeRC and RuCoS: Datasets for Machine Reading Comprehension for Russian.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

DaNetQA: A Yes/No Question Answering Dataset for the Russian Language.
Proceedings of the Analysis of Images, Social Networks and Texts, 2020


  Loading...