Summary of Ex3: Automatic Novel Writing by Extracting, Excelsior and Expanding, By Lei Huang et al.
Ex3: Automatic Novel Writing by Extracting, Excelsior and Expanding
by Lei Huang, Jiaming Guo, Guanhua He, Xishan Zhang, Rui Zhang, Shaohui Peng, Shaoli Liu, Tianshi Chen
First submitted to arxiv on: 16 Aug 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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 This research proposes a novel approach to generating long-term texts like novels using artificial intelligence. The goal is to overcome the limitations of current methods, which often produce coherent but lacking narratives. The proposed method, Extracting Excelsior and Expanding (Ex3), first extracts structural information from existing novel data. This information is then combined with the novel data to create a fine-tuned instruction-following dataset. This dataset is used to train a large language model (LLM) for excelsior generation performance. The final stage involves a tree-like expansion method to generate arbitrarily long novels. Experimental results demonstrate Ex3’s ability to produce higher-quality long-form novels compared to previous methods. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper creates a new way to make artificial intelligence write long stories, like novels. Right now, these stories are often good but lack important details and character development. The new method, called Extracting Excelsior and Expanding (Ex3), takes information from already existing books and uses it to improve the AI’s writing skills. This helps the AI create longer, more detailed stories that are closer to real novels. |
Keywords
» Artificial intelligence » Large language model
