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Houman Mehrafarin

2 accepted papers

2024

Reasoning or a Semblance of it? A Diagnostic Study of Transitive Reasoning in LLMs

EMNLP 2024main

Evaluating Large Language Models (LLMs) on reasoning benchmarks demonstrates their ability to solve compositional questions. However, little is known of whether these models engage in genuine logical reasoning or simply rely on implicit cues to generate answers. In this paper, we investigate the tra…

Cited by 0SourcePDFScholar
2022

On the Importance of Data Size in Probing Fine-tuned Models

ACL 2022findings

Several studies have investigated the reasons behind the effectiveness of fine-tuning, usually through the lens of probing. However, these studies often neglect the role of the size of the dataset on which the model is fine-tuned. In this paper, we highlight the importance of this factor and its und…