Performance Limitations of Large Language Models in Processing Low-Resource Regional Languages: Empirical Evidence and Pre-Training Optimization Strategies
While Large Language Models (LLMs) such as ChatGPT and Gemini have transformed information processing in resource-rich languages, their effectiveness significantly diminishes when applied to low-resource regional languages (e.g., Sundanese and Javanese). This paper investigates the performance bottlenecks experienced b...