OpenAI Uses Prover-Verifier Games to Enhance AI Legibility and Explanation

Jul 17, 2024, 05:55 PM

OpenAI has introduced a new approach to enhance the legibility and verifiability of outputs from large language models (LLMs) through the use of 'Prover-Verifier Games'. This method involves training advanced language models to generate text that can be easily verified by weaker models, which also improves human evaluation of the text. The research aims to make AI systems more trustworthy and transparent, particularly in explaining how they arrive at specific answers. The study focuses on the legibility of outputs in the context of solving grade-school math problems. OpenAI researchers reveal an algorithm to help LLMs explain themselves better, providing a framework for improving model transparency.