--- title: "Who cites SemEval-2026 Task 11: — 22 citing papers" description: "22 papers of the Elamur Research library cite «SemEval-2026 Task 11: Disentangling Content and Formal Reasoning in Large Language…" canonical: "https://research.elamur.ai/free/en/papers/valentino-2026-semeval-2026-task-11-disentangling/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/valentino-2026-semeval-2026-task-11-disentangling/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [SemEval-2026 Task 11: Disentangling Content and…](https://md.research.elamur.ai/free/en/papers/valentino-2026-semeval-2026-task-11-disentangling/) / cited by # Who cites «SemEval-2026 Task 11: Disentangling Content and Formal Reasoning in Large Language Models» 22 papers of our library cite it (of the 149,439 whose bibliographies we read) · 9 with a page here, the most cited first · [← back to «SemEval-2026 Task 11: Disentangling Content and Formal Reasoning in Large Language Models»](https://md.research.elamur.ai/free/en/papers/valentino-2026-semeval-2026-task-11-disentangling/) 1. **[AICOE-Tredence at SemEval-2026 Task 11: Mitigating Content Bias in Syllogisms via Symbolic Logic-Language Decoupling](https://md.research.elamur.ai/free/en/papers/r-2026-aicoe-tredence-semeval-2026-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Rakshith R, Ankush Chopra*2026 · 1 citation* 2. **[HHU-SyLo at SemEval-2026 Task 11: Logic in the Loop – Hybridizing LLMs and Theorem Provers for Robust Formal Reasoning](https://md.research.elamur.ai/free/en/papers/petersen-2026-hhu-sylo-semeval-2026-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Wiebke Petersen, Cherine Jaziri, Diem Tran*2026 · 1 citation* 3. **[Hidetsune at SemEval-2026 Task 11: Adapting Pretrained Reasoning Models with Deep Supervision and Inference Refinement for Content-Independent Validity Classification](https://md.research.elamur.ai/free/en/papers/takahashi-2026-hidetsune-semeval-2026-task-11/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Hidetsune Takahashi*2026 · 1 citation* 4. **[Lakksh at SemEval-2026 Task 11(1 & 2): Neuro-Symbolic Decomposition to Mitigate Content Bias in Syllogistic Reasoning](https://md.research.elamur.ai/free/en/papers/sharma-2026-lakksh-semeval-2026-task-11/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Lakksh Sharma, Krish Sharma, Jatin Bedi*2026 · 1 citation* 5. **[YNU-NLP at SemEval-2026 Task 11: A Neuro-Symbolic Approach with Reflexion Mechanism Disentangling Content and Formal Reasoning in Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-ynu-nlp-semeval-2026-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Yu Wang, You Zhang, Hao Zhang, et al.*2026 · 1 citation* 6. **[SteerForce at SemEval-2026 Task 11: Reducing Content Effects Using Layered Activation Steering](https://md.research.elamur.ai/free/en/papers/tratzsch-2026-steerforce-semeval-2026-task-11/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Noah Tratzsch, Asmaa Al-Raian, Mounika Marreddy, et al.*2026* 7. **[Thesis Proposal: Intentional Inference for Insight Generation](https://md.research.elamur.ai/free/en/papers/onderkova-2026-thesis-proposal-intentional-inference-insight/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kristýna Onderková*2026* 8. **[TTLab at SemEval-2026 Task 10: Transformer-based Approaches for Psycholinguistic Conspiracy Detection in Social Media Discourse](https://md.research.elamur.ai/free/en/papers/richter-2026-ttlab-semeval-2026-task-10/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Samuel Richter, Mounika Marreddy, Alexander Mehler*2026* 9. **[YNU-HPCC at SemEval-2026 Task 11: Mitigating Content Effects in Syllogistic Reasoning with Qwen2-1.5B-Instruct and XLM-RoBERTa-Large for English and Multilingual TasksMultilingual Tasks](https://md.research.elamur.ai/free/en/papers/luo-2026-ynu-hpcc-semeval-2026-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Rongchuan Luo, Jin Wang, Xuejie Zhang*2026* 13 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/valentino-2026-semeval-2026-task-11-disentangling/) — SemEval-2026 Task 11: Disentangling Content and Formal Reasoning in Large Language Models