TeaMs-RL: Teaching LLMs to Generate Better Instruction Datasets via Reinforcement Learning

Shangding Gu, Alois Knoll, Ming Jin

The development of Large Language Models (LLMs) often confronts challenges stemming from the heavy reliance on human annotators in the reinforcement learning with human feedback (R…