most citedReasoning Abilities of Large Language Models: In-Depth Analysis on the Abstraction and Reasoning Corpus

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CL2024★ 2 cited

Reasoning Abilities of Large Language Models: In-Depth Analysis on the Abstraction and Reasoning Corpus

Seungpil Lee, Woochang Sim, Donghyeon Shin +6

The existing methods for evaluating the inference abilities of Large Language Models (LLMs) have been predominantly results-centric, making it challenging to assess the inference p…