Maiya Goloburda

According to our database1, Maiya Goloburda authored at least 15 papers between 2025 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
Why Don't You Know? Evaluating the Impact of Uncertainty Sources on Uncertainty Quantification in LLMs.
CoRR, April, 2026

Is Human-Like Text Liked by Humans? Multilingual Human Detection and Preference Against AI.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Stereotype Bias in a Bilingual Setting: A Culturally Grounded Evaluation in Kazakhstan.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025
Don't Throw Away Your Beams: Improving Consistency-based Uncertainties in LLMs via Beam Search.
CoRR, December, 2025

Multidimensional Uncertainty Quantification via Optimal Transport.
CoRR, September, 2025

Llama-3.1-Sherkala-8B-Chat: An Open Large Language Model for Kazakh.
CoRR, March, 2025

Qorgau: Evaluating LLM Safety in Kazakh-Russian Bilingual Contexts.
CoRR, February, 2025

Is Human-Like Text Liked by Humans? Multilingual Human Detection and Preference Against AI.
CoRR, February, 2025

CoCoA: A Generalized Approach to Uncertainty Quantification by Integrating Confidence and Consistency of LLM Outputs.
CoRR, February, 2025

CoCoA: A Minimum Bayes Risk Framework Bridging Confidence and Consistency for Uncertainty Quantification in LLMs.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

UNCERTAINTY-LINE: Length-Invariant Estimation of Uncertainty for Large Language Models.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025


KazMMLU: Evaluating Language Models on Kazakh, Russian, and Regional Knowledge of Kazakhstan.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Instruction Tuning on Public Government and Cultural Data for Low-Resource Language: a Case Study in Kazakh.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Qorǵau: Evaluating Safety in Kazakh-Russian Bilingual Contexts.
Proceedings of the Findings of the Association for Computational Linguistics, 2025


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