Exploring Reasoning Biases in Large Language Models Through Syllogism: Insights from the NeuBAROCO Dataset (2024.findings-acl)
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| Challenge: | Existing models of large language reasoning exhibit reasoning biases similar to humans, a study shows . syllogistic reasoning is one of the basic forms of deductive reasoning . |
| Approach: | They propose to use a syllogism dataset to evaluate models' reasoning abilities . they propose to ask LLMs to translate slogismatic slurs into abstract logical expressions . |
| Outcome: | The proposed method shows that models exhibit reasoning biases similar to humans, and that there is room for improvement in reasoning problems where premises and hypotheses are neither entailment nor contradiction. |
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