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Decompiling Dreams: A New Approach to ARC? - Alessandro Palmarini

Machine Learning Street Talk (MLST)

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Exploring Unique Approaches to the ARC Challenge

This chapter explores the enthusiasm and controversies surrounding the ARC challenge, focusing on the role of language models among participants. It highlights concerns about fairness and presents alternative strategies centered on combinatorial search methods while discussing ongoing research and theoretical advancements.

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