1 citations · 1 across the 1 of their papers we have counts for
2 papers
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…
cs.CL2023★ 1 cited
On Evaluating the Integration of Reasoning and Action in LLM Agents with Database Question Answering
Linyong Nan, Ellen Zhang, Weijin Zou +3
This study introduces a new long-form database question answering dataset designed to evaluate how Large Language Models (LLMs) interact with a SQL interpreter. The task necessitat…