ITLC at SemEval-2026 Task 11: Normalization and Deterministic Parsing for Formal Reasoning in LLMs

Wicaksono Leksono Muhamad, Joanito Agili Lopo, Tack Hwa Wong, Muhammad Ravi Shulthan Habibi, Samuel Cahyawijaya
3/3/2026
cs.CLcs.AI

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Abstract

Large language models suffer from content effects in reasoning tasks, particularly in multi-lingual contexts. We introduce a novel method that reduces these biases through explicit structural abstraction that transforms syllogisms into canonical logical representations and applies deterministic parsing to determine validity. Evaluated on the SemEval-2026 Task 11 multilingual benchmark, our approach achieves top-5 rankings across all subtasks while substantially reducing content effects and offering a competitive alternative to complex fine-tuning or activation-level interventions.

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Cite this paper

@article{muhamad2026itlc,
  title  = {ITLC at SemEval-2026 Task 11: Normalization and Deterministic Parsing for Formal Reasoning in LLMs},
  author = {Wicaksono Leksono Muhamad and Joanito Agili Lopo and Tack Hwa Wong and Muhammad Ravi Shulthan Habibi and Samuel Cahyawijaya},
  year   = {2026},
  eprint = {2603.02676},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2603.02676v1}
}

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