SymGen allows users to quickly check LLM answers by providing the ability to hover over highlighted sections of text. This allows you to see the data used to create a particular word or phrase. Parts of the text that are not highlighted indicate statements that require more attention. According to the study’s authors, this approach helps people focus on the most questionable parts of the text and increases confidence in the model’s answers.
A user study found that SymGen speeds up the verification process by 20% compared to traditional methods. Researchers hope the developed tool will help identify errors in LLM responses used in a variety of real-world scenarios, including clinical note creation and financial statement summaries. In the future, it is planned to expand SymGen’s capabilities to work with free text and other data formats.
Source: Ferra
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