--- title: "Rui Wang — papers of 2025 — 5 papers, the most cited first" description: "Rui Wang — papers of 2025: 5 papers on Elamur Research, the most cited first — what each work is about in our own words." canonical: "https://research.elamur.ai/free/en/authors/rui-wang/year/2025/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/rui-wang/year/2025/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Rui Wang](https://md.research.elamur.ai/free/en/authors/rui-wang/) / 2025 # Rui Wang — papers of 2025 — 5 papers, the most cited first 5 papers · [all years of Rui Wang](https://md.research.elamur.ai/free/en/authors/rui-wang/#years) - [Step1X-Edit: A Practical Framework for General Image Editing arXiv:2504.17761](https://md.research.elamur.ai/free/en/papers/liu-2025-step1x-edit-practical-framework/) — Shiyu Liu, Yucheng Han, Peng Xing, et al. · 2025 · 23 citations **[Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs](https://md.research.elamur.ai/free/en/papers/xia-2025-beyond-chain-thought-survey-chain/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Yu Xia, Rui Wang, Xu Liu, et al.*2025 · 19 citations* - [Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language Models arXiv:2503.24377](https://md.research.elamur.ai/free/en/papers/wang-2025-harnessing-reasoning-economy-survey-efficient/) — Rui Wang, Hongru Wang, Boyang Xue, et al. · 2025 · 16 citations **[Untie the Knots: An Efficient Data Augmentation Strategy for Long-Context Pre-Training in Language Models](https://md.research.elamur.ai/free/en/papers/tian-2025-untie-knots-efficient-data-augmentation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junfeng Tian, Da Zheng, Yang Chen, et al.*2025 · 7 citations* **[Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models](https://md.research.elamur.ai/free/en/papers/huang-2025-embedding-informed-adaptive-retrieval-augmented/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Chengkai Huang, Yu Xia, Rui Wang, et al.*2025 · 5 citations*