---
title: "Rongxiang Weng — author profile and papers in our library"
description: "Rongxiang Weng, Shanghai Jiao Tong University: 3 papers on Elamur Research (2026), h-index 12 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/rongxiang-weng/"
---
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# Rongxiang Weng

Rongxiang Weng has 3 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 [Jingang Wang](https://md.research.elamur.ai/free/en/authors/jingang-wang/), [Xunliang Cai](https://md.research.elamur.ai/free/en/authors/xunliang-cai/), [Can Ren](https://md.research.elamur.ai/free/en/authors/can-ren/).

3 papers in our library · 2026

[OpenAlex](https://openalex.org/A5081667345) · [**h-index 12**](https://openalex.org/authors/A5081667345) · [76 works](https://openalex.org/works?filter=author.id:A5081667345) · [1,298 citations](https://openalex.org/works?filter=author.id:A5081667345&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/rongxiang-weng/#papers) · [🔗 Cited 479 times in our library](https://md.research.elamur.ai/free/en/authors/rongxiang-weng/cited-by/) · [⭐ Paper Stars ranking: #11948](https://md.research.elamur.ai/free/en/paper-stars/page/120/#star-11948)

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=Rongxiang+Weng) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Rongxiang+Weng) · [dblp](https://dblp.org/search?q=Rongxiang+Weng) · [ACL Anthology](https://aclanthology.org/search/?q=Rongxiang+Weng)

## Affiliations

[🏢**Meituan** Beijing · China 2024–2026 · 28 papers*current*](https://md.research.elamur.ai/free/en/companies/meituan/) · [🎓**Shanghai Jiao Tong University** Shanghai · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🏢**Alibaba Group** Hangzhou · China 2020–2022 · 7 papers](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🎓**Nanjing University** Nanjing · China 2017–2020 · 5 papers](https://md.research.elamur.ai/free/en/universities/nanjing-university/) · [🎓**Soochow University** Suzhou · China 2022–2023 · 4 papers](https://md.research.elamur.ai/free/en/universities/soochow-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 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 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 3 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** 3 papers](https://md.research.elamur.ai/free/en/authors/rongxiang-weng/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Unlocking Implicit Experience: Synthesizing Tool-Use Trajectories from Text](https://md.research.elamur.ai/free/en/papers/xu-2026-unlocking-implicit-experience-synthesizing-tool/)** *(2026 · 4 citations)* Training LLM agents for multi-turn tool use is limited by a shortage of realistic trajectories. Most existing synthesis methods start from a fixed API collection, so the data can only be as broad as that collection. The authors invert this approach. They argue that ordinary web text, such as how-to guides and…
2. **[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…
3. **[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

10 co-authors with a page, the most papers together first.

- [Jingang Wang](https://md.research.elamur.ai/free/en/authors/jingang-wang/) ×3
- [Xunliang Cai](https://md.research.elamur.ai/free/en/authors/xunliang-cai/) ×3
- [Can Ren](https://md.research.elamur.ai/free/en/authors/can-ren/) ×2
- [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
- [Xuemiao Zhang](https://md.research.elamur.ai/free/en/authors/xuemiao-zhang/) ×2
- [Jiahuan Li](https://md.research.elamur.ai/free/en/authors/jiahuan-li/)
- [Rumei Li](https://md.research.elamur.ai/free/en/authors/rumei-li/)
- [Xiting Wang](https://md.research.elamur.ai/free/en/authors/xiting-wang/)
- [Zhihao Xu](https://md.research.elamur.ai/free/en/authors/zhihao-xu/)

## 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/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2
- [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/)
- [Science China Information Sciences](https://md.research.elamur.ai/free/en/venues/science-china-information-sciences/)

## Cited by

Papers of our library cite their works 479 times (of the 149,439 papers whose bibliographies we read); [134 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/rongxiang-weng/cited-by/).

Updated 2 November 2026
