GenAudit

A tool that assists humans in verifying factual errors in outputs from Large Language Models (LLMs) and provides supporting evidence.

CommonProductProductivityFact-checkingLLM Output Correction

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GenAudit is a tool designed to help verify the responses of Large Language Models (LLMs) in document-supported tasks. It can suggest edits to LLM responses by correcting or removing claims not supported by the reference document and provide supporting evidence for seemingly corroborated facts. GenAudit achieves this by training models to perform these tasks and designing an interactive interface to present users with suggested edits and evidence.

Fact-checking of LLM-generated text
Correcting or removing claims inconsistent with reference documents
Providing supporting evidence from reference documents for corroborated facts
Offering an interactive user interface to facilitate fact-checking

Suitable for scenarios requiring fact-checking of text generated by LLMs
such as document-based question answering in high-risk applications like healthcare and finance.

Medical researchers use GenAudit to verify patient summaries generated by LLMs
Financial analysts leverage GenAudit to ensure the accuracy of financial report summaries provided by LLMs
Editors and authors utilize GenAudit to enhance the factual accuracy of their publications

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GenAudit

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