AI & ML interests
Natural Language Processing
Recent Activity
Papers
Estonian WinoGrande Dataset: Comparative Analysis of LLM Performance on Human and Machine Translation
GliLem: Leveraging GliNER for Contextualized Lemmatization in Estonian
Llama-2-based LLMs fine-tuned for grammatical error correction. This collection also includes AEG (Artificial Error Generation) models.
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To Err Is Human, but Llamas Can Learn It Too
Paper • 2403.05493 • Published • 6 -
tartuNLP/Llamma-2-7b-ukr-p1-llama-errors-p2-GEC
Text Generation • 7B • Updated • 6 • 2 -
tartuNLP/Llammas-base-p1-llama-errors-p2-GEC
Text Generation • 7B • Updated • 37 • 3 -
tartuNLP/leo-hessianai-7b-p1-llama-errors-p2-GEC
Text Generation • 7B • Updated • 16
A collection of resources for evaluation of LLM capabilities in the Estonian language.
Llama-2-based LLMs fine-tuned for grammatical error correction. This collection also includes AEG (Artificial Error Generation) models.
-
To Err Is Human, but Llamas Can Learn It Too
Paper • 2403.05493 • Published • 6 -
tartuNLP/Llamma-2-7b-ukr-p1-llama-errors-p2-GEC
Text Generation • 7B • Updated • 6 • 2 -
tartuNLP/Llammas-base-p1-llama-errors-p2-GEC
Text Generation • 7B • Updated • 37 • 3 -
tartuNLP/leo-hessianai-7b-p1-llama-errors-p2-GEC
Text Generation • 7B • Updated • 16