SEF-CLGC with SLMs trained on natural and symbolic languages achieves 27.80% content score while lowering content bias on SemEval-2026 Task 11 Subtask 1.
arXiv preprint arXiv:2601.07790 , year=
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SEF-CLGC at SemEval-2026 Task 11: Logical Notation Impact on Language Model Performance
SEF-CLGC with SLMs trained on natural and symbolic languages achieves 27.80% content score while lowering content bias on SemEval-2026 Task 11 Subtask 1.