Summary of Baijia: a Large-scale Role-playing Agent Corpus Of Chinese Historical Characters, by Ting Bai et al.
BaiJia: A Large-Scale Role-Playing Agent Corpus of Chinese Historical Characters
by Ting Bai, Jiazheng Kang, Jiayang Fan
First submitted to arxiv on: 28 Dec 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computation and Language (cs.CL)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed BaiJia corpus is a large-scale, comprehensive collection of Chinese historical characters that can be used to train AI-driven role-playing agents in large language models (LLMs). The corpus addresses the challenges posed by fragmented and diverse historical records by integrating various information about each character, including biographical details, literary works, family relationships, and historical events. Experimental results demonstrate the effectiveness of BaiJia in improving the role-playing abilities of foundational LLMs and promoting their development and assessment for historical role-playing tasks. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Imagine a game where you can play as famous Chinese characters from history! This new dataset called BaiJia helps make that possible by collecting information about many different characters, like what they did, who they loved, and what happened to them. It’s really hard to find all this information because it’s spread out across lots of different sources, like books and documents. The people who made BaiJia took all these bits of information and put them together in one place, so that computers can use them to make AI characters that can play roles like these famous people. |
