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arXiv · 2606.09157

SEF-CLGC at SemEval-2026 Task 11: Logical Notation Impact on Language Model Performance

Hanna Abi Akl·Fabien Gandon·Catherine Faron·Pierre Monnin
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Abstract

This paper revisits our pipeline called Syllogistic Evaluation Framework-Common Logic Grammar Construction (SEF-CLGC). We combine formal logical notations with Small Language Models (SLMs) to evaluate reasoning performance on the SemEval-2026 Task 11 Subtask 1: Disentangling Content and Formal Reasoning in Large Language Models. Our experiments show that by relying solely on SLMs, trained on a combination of natural and symbolic languages, our best model achieves a content score of 27.80% on the task while significantly lowering the content bias in reasoning.

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Hanna Abi Akl, Fabien Gandon, Catherine Faron, Pierre Monnin. 2026-06-08. SEF-CLGC at SemEval-2026 Task 11: Logical Notation Impact on Language Model Performance. https://arxiv.org/abs/2606.09157

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