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2023/12/12 · The resulting dataset, called BaRDa, contains 3000 entailments (1787 valid, 1213 invalid), using 6681 true and 2319 false statements.
BARDA dataset aims to distinguish between factual accuracy and reasoning ability in evaluating language models. The dataset contains 3000 entailments with a ...
Factual Error Correction. 23.12, Allen Institute for AI, arxiv, BARDA: A Belief and Reasoning Dataset that Separates Factual Accuracy and Reasoning Ability ...
We present the ARC-DA dataset, a direct-answer ("open response", "freeform") version of the ARC (AI2 Reasoning Challenge) multiple-choice dataset.
BaRDa: A Belief and Reasoning Dataset that Separates Factual Accuracy and Reasoning Ability. View Code Notebook Code for Similar Papers: Code for Similar ...
BaRDa: A Belief and Reasoning Dataset that Separates Factual Accuracy and Reasoning Ability · no code implementations • 12 Dec 2023 • Peter Clark, Bhavana ...
BaRDa: A Belief and Reasoning Dataset that Separates Factual Accuracy and Reasoning Ability. Peter Clark, Bhavana Dalvi Mishra, Oyvind Tafjord. Mar 23 2024. cs ...
BaRDa: A Belief and Reasoning Dataset that Separates Factual Accuracy and Reasoning Ability. View Code Notebook Code for Similar Papers: Code for Similar ...
BaRDa: A Belief and Reasoning Dataset that Separates Factual Accuracy and Reasoning Ability. Peter Clark, Bhavana Dalvi Mishra, Oyvind Tafjord. Mar 23 2024. cs ...
Barda: A belief and reasoning datasetthat separates factual accuracy and reasoning ability, 2023. Karl Cobbe, Vineet Kosaraju, Mohammad Bavarian, Jacob ...