Estonian WinoGrande Dataset: Comparative Analysis of LLM Performance on Human and Machine Translation
Published:Nov 21, 2025 15:01
•1 min read
•ArXiv
Analysis
The article focuses on the performance of Large Language Models (LLMs) using the Estonian WinoGrande dataset, comparing their performance on human and machine translation. This suggests an investigation into the capabilities of LLMs in handling different translation qualities and potentially identifying areas for improvement in both LLM and translation technologies.
Key Takeaways
- •Focus on LLM performance.
- •Uses the Estonian WinoGrande dataset.
- •Compares human and machine translation performance.
- •Aims to analyze LLM capabilities in translation.
Reference
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