Mitigating Exploration Bias in RL for Multi-Instruction Following

Mian Zhang, Yueqin Yin, Kaiyu He +4

RL has emerged as a powerful paradigm for enhancing the instruction following capabilities of LLMs. While existing training recipes achieve substantial gains, we find that they suf…