--- title: "Who cites Select2Reason: Efficient — 3 citing papers" description: "3 papers of the Elamur Research library cite «Select2Reason: Efficient Instruction-Tuning Data Selection for Long-CoT Reasoning», found in their…" canonical: "https://research.elamur.ai/free/en/papers/yang-2026-select2reason-efficient-instruction-tuning-data/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/yang-2026-select2reason-efficient-instruction-tuning-data/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Select2Reason: Efficient Instruction-Tuning Data…](https://md.research.elamur.ai/free/en/papers/yang-2026-select2reason-efficient-instruction-tuning-data/) / cited by # Who cites «Select2Reason: Efficient Instruction-Tuning Data Selection for Long-CoT Reasoning» 3 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «Select2Reason: Efficient Instruction-Tuning Data Selection for Long-CoT Reasoning»](https://md.research.elamur.ai/free/en/papers/yang-2026-select2reason-efficient-instruction-tuning-data/) 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. **[Which Reasoning Trajectories Teach Students to Reason Better? A Simple Metric of Informative Alignment](https://md.research.elamur.ai/free/en/papers/yang-2026-which-reasoning-trajectories-teach-students/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuming Yang, Mingyoung Lai, Wanxu Zhao, et al.*2026 · 4 citations* 1 more paper of our library cites it; it has no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/yang-2026-select2reason-efficient-instruction-tuning-data/) — Select2Reason: Efficient Instruction-Tuning Data Selection for Long-CoT Reasoning