An AI Model Learns to Draft Texts with Wikipedia's Help
A team from the University of California, Irvine has created a novel method for large language models to produce texts that sound more human and natural. This system, named WikiHow, instructs the artificial intelligence to examine Wikipedia articles and extract from them outlines on how to write. This way, the model does not limit itself to repeating data, but acquires the ability to organize information logically, similar to how a person would. 🤖📚
The mechanism follows a step-by-step guide
The technique works by giving the model a specific task and a relevant Wikipedia article. The AI scrutinizes the content to recognize the logical structure, language connectors, and narrative progression. Then, it applies that discovered pattern to create its own text on a different topic. This approach overcomes the tendency of these systems to produce vague content or with inaccuracies, as it is based on a well-structured source.
Key benefits of the method:- The AI analyzes and extracts writing patterns from reliable sources.
- Generates texts with better flow and organization by imitating proven structures.
- Reduces factual errors by anchoring in verified information.
The model achieves imitating complex explanatory styles, bringing its output closer to that of an expert writer.
Tests confirm a significant advance in quality
The trials compare texts produced with and without this procedure. Human evaluators perceive that the writings guided by Wikipedia are more informative, have better structure, and are easier to understand. The system manages to emulate complex explanatory styles, approximating its result to that of an experienced writer. This progress could be integrated into writing assistants or tools that summarize automatically.
Characteristics of the improved text:- Greater informativeness and expository clarity.
- Coherent organization of ideas and paragraphs.
- Appropriate use of connectors and transitions.
Deep understanding remains a challenge
Although the AI now writes more fluently, it still does not understand the deep reason why one paragraph should precede another; it simply follows with great precision the instructions it locates, a practice that, curiously, many humans also perform daily. This advance underscores how learning from existing structures can enhance content generation capabilities, even without complete semantic understanding. 🧠