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Reasoning Abilities of Large Language Models: In-Depth Analysis on the Abstraction and Reasoning Corpus
The existing methods for evaluating the inference abilities of Large Language Models (LLMs) have been results-centric, making it difficult to assess the inference process.
Unraveling the ARC Puzzle: Mimicking Human Solutions with Object-Centric Decision Transformer
In the pursuit of artificial general intelligence (AGI), we tackle Abstraction and Reasoning Corpus (ARC) tasks using a novel two-pronged approach.
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