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cs.CL2026
Do Diagrams Help Large Language Models Reason? Evidence from Syllogistic Reasoning
Risako Ando, Koji Mineshima
Diagrams are widely used to support logical reasoning, and prior studies suggest that representations such as Euler diagrams can improve human reasoning performance. Recent work ha…
cs.CL2026
Abductive Reasoning with Syllogistic Forms in Large Language Models
Hirohiko Abe, Risako Ando, Takanobu Morishita Kentaro Ozeki +2
Research in AI using Large-Language Models (LLMs) is rapidly evolving, and the comparison of their performance with human reasoning has become a key concern. Prior studies have ind…
cs.CL2026
Evaluation of Deontic Conditional Reasoning in Large Language Models: The Case of Wason's Selection Task
Hirohiko Abe, Kentaro Ozeki, Risako Ando +3
As large language models (LLMs) advance in linguistic competence, their reasoning abilities are gaining increasing attention. In humans, reasoning often performs well in domain spe…