Ya Guo

Strategy Accumulation and Guided Execution for Automated LLM Fine-Tuning

Producing task-specific large language models requires discovering effective training strategies through experimentation. Automated fine-tuning systems have made this experimentation feasible with far less manual effort. However, these systems are stateless: each search discards its discovered strategies, dataset insig...