--- title: "Jinyang Wu · Tsinghua University — author profile and papers" description: "Jinyang Wu, Tsinghua University: 4 papers on Elamur Research (2025–2026), h-index 13 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/jinyang-wu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jinyang-wu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jinyang Wu # Jinyang Wu Jinyang Wu has 4 papers in our library, in 2025–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Jianhua Tao](https://md.research.elamur.ai/free/en/authors/jianhua-tao/), [Shuai Zhang](https://md.research.elamur.ai/free/en/authors/shuai-zhang/), [Zhengqi Wen](https://md.research.elamur.ai/free/en/authors/zhengqi-wen/). 4 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5064434232) · [ORCID](https://orcid.org/0000-0002-3285-7389) · [**h-index 13**](https://openalex.org/authors/A5064434232) · [63 works](https://openalex.org/works?filter=author.id:A5064434232) · [435 citations](https://openalex.org/works?filter=author.id:A5064434232&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/jinyang-wu/#papers) · [🔗 Cited 38 times in our library](https://md.research.elamur.ai/free/en/authors/jinyang-wu/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7909](https://md.research.elamur.ai/free/en/paper-stars/page/80/#star-7909) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Jinyang+Wu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jinyang+Wu) · [dblp](https://dblp.org/search?q=Jinyang+Wu) · [ACL Anthology](https://aclanthology.org/search/?q=Jinyang+Wu) ## Affiliations [🎓**Tsinghua University** Beijing · China 2024–2026 · 14 papers*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🎓**Shanghai Jiao Tong University** Shanghai · China 2013–2025 · 32 papers](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) · [🏥**Shanghai Ninth People's Hospital** Shanghai · China 2013–2025 · 31 papers](https://ror.org/010826a91) · [🎓**Xiangtan University** Xiangtan · China 2023–2024 · 4 papers](https://ror.org/00xsfaz62) · [🎓**Zaozhuang University** Zaozhuang · China 2025 · 2 papers](https://ror.org/05x21tp94) · [🏥**Shanghai Stomatological Hospital** Shanghai · China 2020–2022 · 2 papers](https://ror.org/00g56wy16) · [🏥**Tianjin Medical University Cancer Institute and Hospital** Tianjin · China 2020–2022 · 2 papers](https://ror.org/0152hn881) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 8 more institutions on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/jinyang-wu/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/jinyang-wu/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[Pandora's Box or Aladdin's Lamp: A Comprehensive Analysis Revealing the Role of RAG Noise in Large Language Models](https://md.research.elamur.ai/free/en/papers/wu-2025-pandora-s-box-or-aladdin/)** *(2025 · 19 citations)* RAG is widely used to reduce LLM hallucinations, but real retrieval results are messy. Earlier robustness studies looked at only a few noise types, usually three or fewer, and assumed noise always hurts. This paper builds a broader picture. It defines seven retrieval noise types grounded in linguistics and releases… 2. **[SPARK: Strategic Policy-Aware Exploration via Dynamic Branching for Long-Horizon Agentic Learning](https://md.research.elamur.ai/free/en/papers/wu-2026-spark-strategic-policy-aware-exploration/)** *(2026 · 11 citations)* Training LLM agents with reinforcement learning on long, multi-step tasks is difficult because successful trajectories are rare, especially when compute is limited. 3. **[ATLAS: Orchestrating Heterogeneous Models and Tools for Multi-Domain Complex Reasoning](https://md.research.elamur.ai/free/en/papers/wu-2026-atlas-orchestrating-heterogeneous-models-tools/)** *(2026 · 8 citations)* As both LLMs and external tools multiply, choosing which model should handle a query and with which tool becomes a large combinatorial search problem. 4. **[TemplateRL: Structured Template-Guided Reinforcement Learning for LLM Reasoning](https://md.research.elamur.ai/free/en/papers/wu-2026-templaterl-structured-template-guided-reinforcement/)** *(2026 · 8 citations)* RL methods such as GRPO strengthen LLM reasoning, but they learn only from rollouts the model samples freely from its own distribution. ## All works 5 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them. 1. **[Pandora's Box or Aladdin's Lamp: A Comprehensive Analysis Revealing the Role of RAG Noise in Large Language Models](https://md.research.elamur.ai/free/en/papers/wu-2025-pandora-s-box-or-aladdin/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jinyang Wu, Shuai Zhang, Feihu Che, et al.*2025 · 19 citations* 2. **[SPARK: Strategic Policy-Aware Exploration via Dynamic Branching for Long-Horizon Agentic Learning](https://md.research.elamur.ai/free/en/papers/wu-2026-spark-strategic-policy-aware-exploration/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jinyang Wu, Shuo Yang, Yuhao Shen, et al.*2026 · 11 citations* 3. **[ATLAS: Orchestrating Heterogeneous Models and Tools for Multi-Domain Complex Reasoning](https://md.research.elamur.ai/free/en/papers/wu-2026-atlas-orchestrating-heterogeneous-models-tools/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jinyang Wu, Guocheng Zhai, Ruihan Jin, et al.*2026 · 8 citations* 4. **[TemplateRL: Structured Template-Guided Reinforcement Learning for LLM Reasoning](https://md.research.elamur.ai/free/en/papers/wu-2026-templaterl-structured-template-guided-reinforcement/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jinyang Wu, Chonghua Liao, Mingkuan Feng, et al.*2026 · 8 citations* 5. **[Beyond Examples: Towards Automated Thought-level In-Context Reasoning for Large Language Models ↗](https://aclanthology.org/2026.acl-long.135/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Jinyang Wu et al.*2026* ## Co-authors here 9 co-authors with a page, the most papers together first. - [Jianhua Tao](https://md.research.elamur.ai/free/en/authors/jianhua-tao/) ×4 - [Shuai Zhang](https://md.research.elamur.ai/free/en/authors/shuai-zhang/) ×4 - [Zhengqi Wen](https://md.research.elamur.ai/free/en/authors/zhengqi-wen/) ×3 - [Mingkuan Feng](https://md.research.elamur.ai/free/en/authors/mingkuan-feng/) ×2 - [Yuhao Shen](https://md.research.elamur.ai/free/en/authors/yuhao-shen/) ×2 - [Chonghua Liao](https://md.research.elamur.ai/free/en/authors/chonghua-liao/) - [Haoran Luo](https://md.research.elamur.ai/free/en/authors/haoran-luo/) - [Ling Yang](https://md.research.elamur.ai/free/en/authors/ling-yang/) - [Shuo Yang](https://md.research.elamur.ai/free/en/authors/shuo-yang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×3: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2 ## Cited by Papers of our library cite their works 38 times (of the 149,439 papers whose bibliographies we read); [15 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jinyang-wu/cited-by/). Updated 30 October 2026