Konkani LLM: Multi-Script Instruction Tuning and Evaluation for a Low-Resource Indian Language
#Konkani #large language model #instruction tuning #low-resource language #multi-script #Indian languages #NLP evaluation
📌 Key Takeaways
- Researchers developed a Konkani large language model (LLM) using multi-script instruction tuning.
- The model addresses challenges of low-resource Indian languages by leveraging multiple scripts.
- It includes comprehensive evaluation metrics to assess performance across linguistic tasks.
- This work aims to enhance natural language processing capabilities for Konkani speakers.
📖 Full Retelling
arXiv:2603.23529v1 Announce Type: cross
Abstract: Large Language Models (LLMs) consistently under perform in low-resource linguistic contexts such as Konkani. This performance deficit stems from acute training data scarcity compounded by high script diversity across Devanagari, Romi and Kannada orthographies. To address this gap, we introduce Konkani-Instruct-100k, a comprehensive synthetic instruction-tuning dataset generated through Gemini 3.
We establish rigorous baseline benchmarks by eva
🏷️ Themes
AI Development, Linguistic Diversity
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Original Source
arXiv:2603.23529v1 Announce Type: cross
Abstract: Large Language Models (LLMs) consistently under perform in low-resource linguistic contexts such as Konkani. This performance deficit stems from acute training data scarcity compounded by high script diversity across Devanagari, Romi and Kannada orthographies. To address this gap, we introduce Konkani-Instruct-100k, a comprehensive synthetic instruction-tuning dataset generated through Gemini 3.
We establish rigorous baseline benchmarks by eva
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