JRE-L: Journalist, Reader, and Editor LLMs in the Loop for Science Journalism for the General Audience

The journalist's writing is iteratively refined by feedback from the reader and suggestions Figure 1: An article written by a science journalist from the editor. Our experiments demonstrate may be challenging for the general reader without that by leveraging the collaboration of two 7B and one 1.8B open-source LLMs, we the reader's feedback to the editor in the revision can generate articles that are more accessible cycle (a). Incorporating the reader's feedback into the than those generated by existing methods, journalism cycle can help enhance the readability of the including prompting single advanced models article (b). such as GPT-4 and other LLM-collaboration strategies. Our code is publicly available at github.com/Zzoay/JRE-L.