Nikolay Babakov

Orcid: 0000-0002-2568-6702

According to our database1, Nikolay Babakov authored at least 24 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
On the role of explanations in machine learning prediction of nonalcoholic steatohepatitis.
Prog. Artif. Intell., March, 2026

2025
Evaluating Text Style Transfer: A Nine-Language Benchmark for Text Detoxification.
CoRR, July, 2025

Reusability of Bayesian Networks case studies: a survey.
Appl. Intell., April, 2025

Explaining Bayesian Networks Reasoning to the General Public: Insights from the User Study.
MAI-XAI@ECAI, 2025

Evaluation of Explainable AI by Medical Experts: a Survey of the Existing Approaches.
Proceedings of the Second Workshop on Second Workshop on Explainable Artificial Intelligence for the Medical Domain (EXPLIMED 2025) co-located with 28th European Conference on Artificial Intelligence (ECAI 2025), 2025

EmoBench-UA: A Benchmark Dataset for Emotion Detection in Ukrainian.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Multilingual and Explainable Text Detoxification with Parallel Corpora.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

Scalability of Bayesian Network Structure Elicitation with Large Language Models: a Novel Methodology and Comparative Analysis.
Proceedings of the 31st International Conference on Computational Linguistics, 2025



CausalGraphBench: a Benchmark for Evaluating Language Models capabilities of Causal Graph discovery.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop), 2025

2024
Beyond plain toxic: building datasets for detection of flammable topics and inappropriate statements.
Lang. Resour. Evaluation, June, 2024

Toxicity Classification in Ukrainian.
CoRR, 2024

MultiParaDetox: Extending Text Detoxification with Parallel Data to New Languages.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024

Explaining Bayesian Networks in Natural Language using Factor Arguments. Evaluation in the medical domain.
Proceedings of the First Workshop on Explainable Artificial Intelligence for the Medical Domain (EXPLIMED 2024) co-located with 27th European Conference on Artificial Intelligence (ECAI 2024), 2024

Overview of the Multilingual Text Detoxification Task at PAN 2024.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024

Overview of PAN 2024: Multi-author Writing Style Analysis, Multilingual Text Detoxification, Oppositional Thinking Analysis, and Generative AI Authorship Verification Condensed Lab Overview.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2024

2023
Detecting Text Formality: A Study of Text Classification Approaches.
Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, 2023

Don't Lose the Message While Paraphrasing: A Study on Content Preserving Style Transfer.
Proceedings of the Natural Language Processing and Information Systems, 2023

Error syntax aware augmentation of feedback comment generation dataset.
Proceedings of the 16th International Natural Language Generation Conference, 2023

2022
Beyond Plain Toxic: Detection of Inappropriate Statements on Flammable Topics for the Russian Language.
CoRR, 2022

Studying the Role of Named Entities for Content Preservation in Text Style Transfer.
Proceedings of the Natural Language Processing and Information Systems, 2022

A large-scale computational study of content preservation measures for text style transfer and paraphrase generation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2022

2021
Detecting Inappropriate Messages on Sensitive Topics that Could Harm a Company's Reputation.
CoRR, 2021


  Loading...