Summary of Science Out Of Its Ivory Tower: Improving Accessibility with Reinforcement Learning, by Haining Wang et al.
Science Out of Its Ivory Tower: Improving Accessibility with Reinforcement Learning
by Haining Wang, Jason Clark, Hannah McKelvey, Leila Sterman, Zheng Gao, Zuoyu Tian, Sandra Kübler, Xiaozhong Liu
First submitted to arxiv on: 22 Oct 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Computers and Society (cs.CY)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary In this paper, researchers introduce a novel reinforcement learning framework that can rewrite scholarly abstracts into more accessible versions for non-technical audiences. The framework fine-tunes a language model to substitute technical terms with simpler alternatives, achieving a significant improvement in readability. The best-performing model can adjust the readability level of abstracts by approximately six U.S. grade levels, from postgraduate to high school level, while maintaining factual accuracy and quality. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper helps bridge the gap between scholarly research and the general public by developing a system that makes complex scientific information more accessible. The researchers use a combination of word- and sentence-level rewards to guide their language model in rewriting abstracts into simpler versions. The result is a significant improvement in readability, making it easier for people without a college degree or younger readers to understand. |
Keywords
» Artificial intelligence » Language model » Reinforcement learning
