--- title: "Xin Liu — papers of 2025 — 5 papers, the most cited first" description: "Xin Liu — 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/xin-liu/year/2025/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xin-liu/year/2025/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Xin Liu](https://md.research.elamur.ai/free/en/authors/xin-liu/) / 2025 # Xin Liu — papers of 2025 — 5 papers, the most cited first 5 papers · [all years of Xin Liu](https://md.research.elamur.ai/free/en/authors/xin-liu/#years) - [DAPO: An Open-Source LLM Reinforcement Learning System at Scale arXiv:2503.14476](https://md.research.elamur.ai/free/en/papers/yu-2025-dapo-open-source-llm-reinforcement/) — Qiying Yu, Zheng Zhang, Ruofei Zhu, et al. · 2025 · 668 citations - [Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning arXiv:2504.13914](https://md.research.elamur.ai/free/en/papers/bytedance-seed-2025-seed1-5-thinking-advancing/) — ByteDance Seed, Jiaze Chen, Tiantian Fan, et al. · 2025 · 62 citations **[Answer Convergence as a Signal for Early Stopping in Reasoning](https://md.research.elamur.ai/free/en/papers/liu-2025-answer-convergence-as-signal-early/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xin Liu, Lu Wang*2025 · 22 citations* **[PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving](https://md.research.elamur.ai/free/en/papers/parmar-2025-plangen-multi-agent-framework-generating/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Mihir Parmar, Xin Liu, Palash Goyal, et al.*2025 · 16 citations* **[VeriFact: Enhancing Long-Form Factuality Evaluation with Refined Fact Extraction and Reference Facts](https://md.research.elamur.ai/free/en/papers/liu-2025-verifact-enhancing-long-form-factuality/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xin Liu, Lechen Zhang, Sheza Munir, et al.*2025 · 11 citations*