Konkani LLM: Multi-Script Instruction Tuning and Evaluation for a Low-Resource Indian Language

Documenti analoghi

• Low-Resource Fine-Tuning for Multi-Task Structured Information Extraction with a Billion-Parameter Instruction-Tuned Model
  di: Chih, Yu Cheng, et al.
  Pubblicazione: (2025)
• One Instruction Does Not Fit All: How Well Do Embeddings Align Personas and Instructions in Low-Resource Indian Languages?
  di: Shah, Arya, et al.
  Pubblicazione: (2026)
• LinguaLIFT: An Effective Two-stage Instruction Tuning Framework for Low-Resource Language Reasoning
  di: Zhang, Hongbin, et al.
  Pubblicazione: (2024)
• MURI: High-Quality Instruction Tuning Datasets for Low-Resource Languages via Reverse Instructions
  di: Köksal, Abdullatif, et al.
  Pubblicazione: (2024)
• adaptMLLM: Fine-Tuning Multilingual Language Models on Low-Resource Languages with Integrated LLM Playgrounds
  di: Lankford, Séamus, et al.
  Pubblicazione: (2024)