Seungpil Lee

Seungpil Lee

Undergraduate in Gwangju Institute of Science and Technology

Solution Augmentation for ARC-AGI Problems Using GFlowNet: A Probabilistic Exploration Approach

Published in TMLR, 2025

Recommended citation: https://www.dbpia.co.kr/pdf/pdfView.do?nodeId=NODE11705080&googleIPSandBox=false&mark=0&ipRange=false&b2cLoginYN=false&aiChatView=A&readTime=5-10&isPDFSizeAllowed=true&accessgl=Y&language=ko_KR&hasTopBanner=true

In this study, we propose a new method that uses the World Model algorithm to analyze the influence of prior knowledge when solving the ARC benchmark, as well as the types of prior knowledge included in the ARC.

Download paper here