Minimal-Edit Instruction Tuning for Low-Resource Indic GEC

This article likely presents a research paper on improving grammatical error correction (GEC) for Indic languages (Indian languages) using instruction tuning with minimal edits. The focus is on addressing the challenge of limited data resources for these languages. The research probably explores techniques to fine-tune language models effectively with minimal modifications to the training data or model architecture. The use of 'instruction tuning' suggests the researchers are leveraging the power of instruction-following capabilities of large language models (LLMs).

• •Focus on grammatical error correction (GEC) for Indic languages.
• •Addresses the challenge of low-resource data.
• •Employs instruction tuning techniques.
• •Emphasizes minimal edits to training data or model architecture.