--- title: "Qingyu Ren · Fudan University — author profile and papers" description: "Qingyu Ren, Fudan University: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/qingyu-ren/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/qingyu-ren/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Qingyu Ren # Qingyu Ren Qingyu Ren has 2 papers in our library, in 2026; often with [Fei Yu](https://md.research.elamur.ai/free/en/authors/fei-yu/), [Jiaqing Liang](https://md.research.elamur.ai/free/en/authors/jiaqing-liang/), [Jie Zeng](https://md.research.elamur.ai/free/en/authors/jie-zeng/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5122913726) · [**h-index 0**](https://openalex.org/authors/A5122913726) · [10 works](https://openalex.org/works?filter=author.id:A5122913726) · [0 citations](https://openalex.org/works?filter=author.id:A5122913726&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/qingyu-ren/#papers) · [🔗 Cited 3 times in our library](https://md.research.elamur.ai/free/en/authors/qingyu-ren/cited-by/) · [⭐ Paper Stars ranking: #10979](https://md.research.elamur.ai/free/en/paper-stars/page/110/#star-10979) 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=Qingyu+Ren) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Qingyu+Ren) · [dblp](https://dblp.org/search?q=Qingyu+Ren) · [ACL Anthology](https://aclanthology.org/search/?q=Qingyu+Ren) ## Affiliations [🎓**Fudan University** Shanghai · China 2025–2026 · 8 papers*current*](https://md.research.elamur.ai/free/en/universities/fudan-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/qingyu-ren/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Instructions are all you need: Self-supervised Reinforcement Learning for Instruction Following](https://md.research.elamur.ai/free/en/papers/ren-2026-instructions-are-all-you-need/)** *(2026 · 3 citations)* Language models often fail to satisfy instructions that contain several constraints at once. Existing RL methods for this problem depend on stronger models or human annotators for rewards, and multi-constraint tasks give sparse rewards. The authors propose a self-supervised RL framework in which reward signals come… 2. **[From Coarse to Fine: Benchmarking and Reward Modeling for Writing-Centric Generation Tasks](https://md.research.elamur.ai/free/en/papers/ren-2026-coarse-fine-benchmarking-reward-modeling/)** *(2026)* LLMs still have trouble with writing tasks whose prompts contain many explicit constraints. Existing reward-model benchmarks such as RewardBench and JudgeBench score models only broadly. Current training approaches either depend on a costly LLM judge or on reward models that rate general qualities like fluency. The… ## Co-authors here 6 co-authors with a page, the most papers together first. - [Fei Yu](https://md.research.elamur.ai/free/en/authors/fei-yu/) - [Jiaqing Liang](https://md.research.elamur.ai/free/en/authors/jiaqing-liang/) - [Jie Zeng](https://md.research.elamur.ai/free/en/authors/jie-zeng/) - [Qianyu He](https://md.research.elamur.ai/free/en/authors/qianyu-he/) - [Xuhong Wang](https://md.research.elamur.ai/free/en/authors/xuhong-wang/) - [Yanghua Xiao](https://md.research.elamur.ai/free/en/authors/yanghua-xiao/) ## 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/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ## Cited by Papers of our library cite their works 3 times (of the 149,439 papers whose bibliographies we read); [2 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/qingyu-ren/cited-by/). Updated 1 November 2026