LIA: Supervised Fine-Tuning of Large Language Models for Automatic Issue Assignment

Researchers developed LIA, a supervised fine-tuning approach using DeepSeek-R1-Distill-Llama-8B to automatically assign software issues to developers. The system achieved up to 187.8% improvement over the base model and 211.2% better performance than existing methods in developer recommendation accuracy.