ITLC at SemEval-2026 Task 11: Normalization and Deterministic Parsing for Formal Reasoning in LLMs
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arXiv
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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2026
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| _version_ | 1866909029057429504 |
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| author | Muhamad, Wicaksono Leksono Lopo, Joanito Agili Wong, Tack Hwa Habibi, Muhammad Ravi Shulthan Cahyawijaya, Samuel |
| author_facet | Muhamad, Wicaksono Leksono Lopo, Joanito Agili Wong, Tack Hwa Habibi, Muhammad Ravi Shulthan Cahyawijaya, Samuel |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_02676 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | ITLC at SemEval-2026 Task 11: Normalization and Deterministic Parsing for Formal Reasoning in LLMs Muhamad, Wicaksono Leksono Lopo, Joanito Agili Wong, Tack Hwa Habibi, Muhammad Ravi Shulthan Cahyawijaya, Samuel Computation and Language Artificial Intelligence 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. |
| title | ITLC at SemEval-2026 Task 11: Normalization and Deterministic Parsing for Formal Reasoning in LLMs |
| topic | Computation and Language Artificial Intelligence |
| url | https://arxiv.org/abs/2603.02676 |