AIBullisharXiv – CS AI · Mar 46/104
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ITLC at SemEval-2026 Task 11: Normalization and Deterministic Parsing for Formal Reasoning in LLMs
Researchers developed a new method to reduce content biases in large language models' reasoning tasks by transforming syllogisms into canonical logical representations with deterministic parsing. The approach achieved top-5 rankings on the multilingual SemEval-2026 Task 11 benchmark while offering a competitive alternative to complex fine-tuning methods.