Research on leveraging LLMs for code-related tasks. SQL-of-Thought introduces a multi-agent framework for text-to-SQL with guided error correction, achieving state-of-the-art results on Spider. LoRACode uses parameter-efficient fine-tuning for code embeddings, reducing trainable parameters to under 2%.
Research Goal
LLM-powered code understanding and generation
