Laida Kushnareva
Senior Academic Consultant @Huawei
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WORK HISTORY
Senior Academic Consultant @Huawei
Moscow, RU
Machine Learning research, concentrated on applications of Topological Data Analysis in Natural Language Processing field- Studied topological and graph characteristics of Transformers attention maps- First author of the papers “Artificial Text Detection via Examining the Topology of Attention Maps” (EMNLP 2021) and \"AI-generated text boundary detection with RoFT\"(CoLM 2024, outstanding paper award )- Co-author of the papers \"Acceptability Judgements via Examining the Topology of Attention Maps\"(Findings of EMNLP 2022),\"Topological Data Analysis for Speech Processing\"(INTERSPEECH 2023),\"Intrinsic dimension estimation for robust detection of ai-generated texts\"(NEURIPS 2023),\"Robust AI-Generated Text Detection by Restricted Embeddings\"(Findings of EMNLP 2024)- Got MRC Timely Incentives 2024 award - More research is in progress.Technologies used: Python, Pandas, NumPy, PyTorch, Transformers, Scikit-learn, MatPlotLib.
EDUCATION
Lomonosov Moscow State University (MSU)
Specialist, Mathematics
Yuzhno-Sakhalinsk Industrial and Economic College
Associate's degree, Computer Engineering Technology/Technician
Lomonosov Moscow State University (MSU)
Ph.D. (unfinished), Mathematics of intelligent systems
ABOUT LAIDA KUSHNAREVA
Machine Learning Researcher with a focus on Natural Language Processing and more than 4 years of experience in ML / AI Research and Development in big companies. • Published several papers on applications of Topological Data Analysis for improving the interpretability and quality of the Transformers. • Improved the performance of entity extraction models up to 10% in F1 metric for Sberbank.• Developed the prototype of an ML model for improving GNSS navigation on Android devices in the city canyon for Google.• Aside from ML research and development experience, worked as C++/Qt Software Developer (mostly frontend).I like to read and discuss the papers on Machine Learning (especially Natural Language Processing) and to learn about new achievements in this field. I\'m glad to see how many abstract mathematical conceptions find an applications in this area of knowledge. Besides, you can ask me anything about my own research papers. My Google Scholar profile: & hl=en
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