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Maiya Goloburda

KazMMLU: Evaluating Language Models on Kazakh, Russian, and Regional Knowledge of Kazakhstan
2025 · Mukhammed Togmanov, Nurdaulet Mukhituly, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 16
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Qorǵau: Evaluating Safety in Kazakh-Russian Bilingual Contexts
2025 · Maiya Goloburda, Nurkhan Laiyk, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 6
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Is Human-Like Text Liked by Humans? Multilingual Human Detection and Preference Against AI
2026 · Yuxia Wang, Rui Xing, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 2
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Instruction Tuning on Public Government and Cultural Data for Low-Resource Language: a Case Study in Kazakh
2025 · Nurkhan Laiyk, Daniil Orel, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 2
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Don't Throw Away Your Beams: Improving Consistency-based Uncertainties in LLMs via Beam Search
2025 · Fadeeva, Ekaterina, Goloburda, Maiya, et al. · arXiv (Cornell University) · 1
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Sherkala-Chat: Building a State-of-the-Art LLM for Kazakh in a Moderately Resourced Setting
2025 · Koto, Fajri, Joshi, Rituraj, et al. · arXiv (Cornell University) · 1
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Qorgau: Evaluating LLM Safety in Kazakh-Russian Bilingual Contexts
2025 · Goloburda, Maiya, Laiyk, Nurkhan, et al. · arXiv (Cornell University) · 1
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KazMMLU: Evaluating Language Models on Kazakh, Russian, and Regional Knowledge of Kazakhstan
2025 · Togmanov, Mukhammed, Mukhituly, Nurdaulet, et al. · arXiv (Cornell University) · 1
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UNCERTAINTY-LINE: Length-Invariant Estimation of Uncertainty for Large Language Models
2025 · Roman Vashurin, Maiya Goloburda, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 1
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Stereotype Bias in a Bilingual Setting: A Culturally Grounded Evaluation in Kazakhstan
2026 · Association for Computational Linguistics 2026, Goloburda, Liya, et al. · Underline Science Inc.
Is Human-Like Text Liked by Humans? Multilingual Human Detection and Preference Against AI
2026 · Association for Computational Linguistics 2026, Abassy, Mervat, et al. · Underline Science Inc.
Why Don't You Know? Evaluating the Impact of Uncertainty Sources on Uncertainty Quantification in LLMs
2026 · Goloburda, Maiya, Vashurin, Roman, et al. · arXiv (Cornell University)
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Towards Reliable Uncertainty Quantification in Large Language Models
2026 · Goloburda, Maiya
Stereotype Bias in a Bilingual Setting: A Culturally Grounded Evaluation in Kazakhstan
2026 · Nurkhan Laiyk, Daniil Orel, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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Instruction Tuning on Public Government and Cultural Data for Low-Resource Language: a Case Study in Kazakh
2025 · Laiyk, Nurkhan, Orel, Daniil, et al. · arXiv (Cornell University)
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Uncertainty Quantification for LLMs through Minimum Bayes Risk: Bridging Confidence and Consistency
2025 · Vashurin, Roman, Goloburda, Maiya, et al. · arXiv (Cornell University)
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GenAI Content Detection Task 1: English and Multilingual Machine-Generated Text Detection: AI vs. Human
2025 · Wang, Yuxia, Shelmanov, Artem, et al. · arXiv (Cornell University)
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CoCoA: A Minimum Bayes Risk Framework Bridging Confidence and Consistency for Uncertainty Quantification in LLMs
2025 · Roman Vashurin, Maiya Goloburda, et al. · neural information processing systems
Works count: 23
Citation count: 31
H-index: 2
I10-index: 1
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