Papers by Hele-Andra Kuulmets

2 papers
Teaching Llama a New Language Through Cross-Lingual Knowledge Transfer (2024.findings-naacl)

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Challenge: Existing methods to adapt pretrained Large Language Models to new lower-resource languages are limited to English.
Approach: They propose to combine cross-lingual instruction-tuning with additional monolingual pretraining to adapt LLMs to new lower-resource languages.
Outcome: The proposed model is the first open-source instruction-following LLM for Estonian . the proposed model improves commonsense reasoning and multi-turn conversation capabilities .
LLMs for Extremely Low-Resource Finno-Ugric Languages (2025.findings-naacl)

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Challenge: Low-resource languages such as those in the Finno-Ugric family are underrepresented in large language models.
Approach: They propose to develop large language models for extremely low-resource languages . they focus on Vro, Livonian, and Komi, which are underrepresented .
Outcome: The proposed models cover almost the entire cycle of creation, from data collection to instruction tuning and evaluation.

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