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20232026
most citedL2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models

3 citations · 3 across the 2 of their papers we have counts for

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cs.AI2024

P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains

Simeng Han, Aaron Yu, Rui Shen +13

Existing methods on understanding the capabilities of LLMs in logical reasoning rely on binary entailment classification or synthetically derived rationales, which are not sufficie…