--- title: "Can Ren — author profile and papers — Elamur Research" description: "Can Ren: 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/can-ren/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/can-ren/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Can Ren # Can Ren Can Ren has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/); often with [Chengying Tu](https://md.research.elamur.ai/free/en/authors/chengying-tu/), [Hongfei Yan](https://md.research.elamur.ai/free/en/authors/hongfei-yan/), [Jingang Wang](https://md.research.elamur.ai/free/en/authors/jingang-wang/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139740089) · [**h-index 0**](https://openalex.org/authors/A5139740089) · [3 works](https://openalex.org/works?filter=author.id:A5139740089) · [0 citations](https://openalex.org/works?filter=author.id:A5139740089&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/can-ren/#papers) · [⭐ Paper Stars ranking: #13461](https://md.research.elamur.ai/free/en/paper-stars/page/135/#star-13461) 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=Can+Ren) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Can+Ren) · [dblp](https://dblp.org/search?q=Can+Ren) · [ACL Anthology](https://aclanthology.org/search/?q=Can+Ren) ## 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/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/can-ren/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Large-Scale Diverse Synthesis for Mid-Training](https://md.research.elamur.ai/free/en/papers/zhang-2026-large-scale-diverse-synthesis-mid/)** *(2026)* Mid-training large language models often relies on synthetic question–answer data. However, existing generators mostly reformat source text into simple, uniform QA pairs, which limits both volume and variety. The authors present BoostQA, a pipeline that first diagnoses what a pre-trained model lacks and then… 2. **[LinkQA: Synthesizing Diverse QA from Multiple Seeds Strongly Linked by Knowledge Points](https://md.research.elamur.ai/free/en/papers/zhang-2026-linkqa-synthesizing-diverse-qa-multiple/)** *(2026)* Training LLMs is increasingly limited by a shortage of diverse, high-quality data, especially across many academic disciplines. ## Co-authors here 6 co-authors with a page, the most papers together first. - [Chengying Tu](https://md.research.elamur.ai/free/en/authors/chengying-tu/) ×2 - [Hongfei Yan](https://md.research.elamur.ai/free/en/authors/hongfei-yan/) ×2 - [Jingang Wang](https://md.research.elamur.ai/free/en/authors/jingang-wang/) ×2 - [Rongxiang Weng](https://md.research.elamur.ai/free/en/authors/rongxiang-weng/) ×2 - [Xuemiao Zhang](https://md.research.elamur.ai/free/en/authors/xuemiao-zhang/) ×2 - [Xunliang Cai](https://md.research.elamur.ai/free/en/authors/xunliang-cai/) ×2 ## 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/) Updated 2 November 2026