--- title: "Who cites Improving Chain-of-Thought — 37 citing papers" description: "37 papers of the Elamur Research library cite «Improving Chain-of-Thought Reasoning via Quasi-Symbolic Abstractions», found in their…" canonical: "https://research.elamur.ai/free/en/papers/ranaldi-2025-improving-chain-thought-reasoning-quasi/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/ranaldi-2025-improving-chain-thought-reasoning-quasi/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Improving Chain-of-Thought Reasoning via…](https://md.research.elamur.ai/free/en/papers/ranaldi-2025-improving-chain-thought-reasoning-quasi/) / cited by # Who cites «Improving Chain-of-Thought Reasoning via Quasi-Symbolic Abstractions» 37 papers of our library cite it (of the 149,439 whose bibliographies we read) · 16 with a page here, the most cited first · [← back to «Improving Chain-of-Thought Reasoning via Quasi-Symbolic Abstractions»](https://md.research.elamur.ai/free/en/papers/ranaldi-2025-improving-chain-thought-reasoning-quasi/) 1. **[Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models](https://md.research.elamur.ai/free/en/papers/chen-2025-towards-reasoning-era-survey-long/) [Science China Information Sciences](https://md.research.elamur.ai/free/en/venues/science-china-information-sciences/)**Qiguang Chen, Libo Qin, Jinhao Liu, et al.*2025 · 176 citations* 2. [**A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well? arXiv:2503.24235**Qiyuan Zhang, Fuyuan Lyu, Zexu Sun, et al.*2025 · 79 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2025-survey-test-time-scaling-large/) 3. **[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/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Marco Valentino, Leonardo Ranaldi, Giulia Pucci, et al.*2026 · 22 citations* 4. **[NeuReasoner: Towards Explainable, Controllable, and Unified Reasoning via Mixture-of-Neurons](https://md.research.elamur.ai/free/en/papers/dong-2026-neureasoner-explainable-controllable-unified-reasoning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Haonan Dong, Kehan Jiang, Haoran Ye, et al.*2026 · 13 citations* 5. **[Improving Multilingual Retrieval-Augmented Language Models through Dialectic Reasoning Argumentations](https://md.research.elamur.ai/free/en/papers/ranaldi-2025-improving-multilingual-retrieval-augmented-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Leonardo Ranaldi, Federico Ranaldi, Fabio Massimo Zanzotto, et al.*2025 · 12 citations* 6. **[R2-MultiOmnia: Leading Multilingual Multimodal Reasoning via Self-Training](https://md.research.elamur.ai/free/en/papers/ranaldi-2025-r2-multiomnia-leading-multilingual-multimodal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Leonardo Ranaldi, Federico Ranaldi, Giulia Pucci*2025 · 6 citations* 7. **[Can Activation Steering Generalize Across Languages? A Study on Syllogistic Reasoning in Language Models](https://md.research.elamur.ai/free/en/papers/maraia-2026-can-activation-steering-generalize-across/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Gabriele Maraia, Leonardo Ranaldi, Marco Valentino, et al.*2026 · 5 citations* 8. **[Ellat at SemEval-2026 Task 11: Comparing Encoder and Decoder Models for Syllogistic Reasoning](https://md.research.elamur.ai/free/en/papers/memar-2026-ellat-semeval-2026-task-11/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Farzaneh Bayan Memar, Hanneke Huls, Matthijs Ten Hove*2026 · 1 citation* 9. **[ITLC at SemEval-2026 Task 11: Normalization and Deterministic Parsing for Formal Reasoning in LLMs](https://md.research.elamur.ai/free/en/papers/muhamad-2026-itlc-semeval-2026-task-11/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Wicaksono Leksono Muhamad, Joanito Agili Lopo, Tack Hwa Wong, et al.*2026 · 1 citation* 10. **[Revealing Procedural Reasoning Structures in Chain-of-Thought Training via Span-Level Gradient Organization](https://md.research.elamur.ai/free/en/papers/liu-2026-revealing-procedural-reasoning-structures-chain/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jia Liu, Jiaxin Luo, Weiwen Xu, et al.*2026 · 1 citation* 11. **[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* 12. **[HCMUSDroneBoys at SemEval-2026 Task 11: Asymmetric Counterfactual Debiasing and Rank-Sensitive Logical Invariance Adaptation for Syllogistic Reasoning](https://md.research.elamur.ai/free/en/papers/tran-2026-hcmusdroneboys-semeval-2026-task-11/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Nguyen Tran, Duy Minh Dao Sy, Trung Kiet Huynh, et al.*2026* 13. **[MARD: Module-Aware Reasoning Distillation for Language Models with Adaptive Supervision](https://md.research.elamur.ai/free/en/papers/yang-2026-mard-module-aware-reasoning-distillation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wenqi Yang, Jianjun Li, Zhibo Zhang, et al.*2026* 14. **[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* 15. **[Thinking in Schemas: Robust Syllogistic Reasoning in LLMs](https://md.research.elamur.ai/free/en/papers/ranaldi-2026-thinking-schemas-robust-syllogistic-reasoning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Federico Ranaldi, Leonardo Ranaldi, Fabio Massimo Zanzotto, et al.*2026* 16. **[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* 21 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/ranaldi-2025-improving-chain-thought-reasoning-quasi/) — Improving Chain-of-Thought Reasoning via Quasi-Symbolic Abstractions