Exploring Reasoning Biases in Large Language Models Through Syllogism: Insights from the NeuBAROCO Dataset

被引：0

作者：

Ozeki, Kentaro ^{[1
,2
]}

Ando, Risako ^{[1
]}

Morishita, Takanobu ^{[1
]}

Abe, Hirohiko ^{[1
]}

Mineshima, Koji ^{[1
]}

Okada, Mitsuhiro ^{[1
]}

机构：

[1] Keio University, Tokyo, Japan

[2] University of Tokyo, Tokyo, Japan

来源：

arXiv |

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共 8 条

[1] Evaluating Large Language Models with NeuBAROCO: Syllogistic Reasoning Ability and Human-like Biases
Ando, Risako
Morishita, Takanobu
Abe, Hirohiko
Mineshima, Koji
Okada, Mitsuhiro
arXiv, 2023,
[2] Discovering Research Areas in Dataset Applications through Knowledge Graphs and Large Language Models
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[5] Realizing the cooking recipe of materials synthesis through large language models
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Wang, Siwen
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Béchet, Frédéric
Brabant, Quentin
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[7] Predicting seizure recurrence from medical records using large language models
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Buchan, Ian
LANCET DIGITAL HEALTH, 2023, 5 (12): : E851 - E852
[8] Think from Words(TFW): Initiating Human-Like Cognition in Large Language Models Through Think from Words for Japanese Text-level Classification
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Zhang, Qinghao
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