Improving Neutral Point-of-View Generation with Data- and Parameter-Efficient RL

Jessica Hoffmann, Christiane Ahlheim, Zac Yu +8

The paper shows that parameter-efficient reinforcement learning (PE-RL) is a highly effective training regime to improve large language models' (LLMs) ability to answer queries on…