---
title: "Dingling Xu — author profile and papers — Elamur Research"
description: "Dingling Xu: 2 papers on Elamur Research (2025–2026) — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/dingling-xu/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/dingling-xu/)

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# Dingling Xu

Dingling Xu has 2 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 [Ruobing Wang](https://md.research.elamur.ai/free/en/authors/ruobing-wang/), [Kunlun Zhu](https://md.research.elamur.ai/free/en/authors/kunlun-zhu/), [Nan Zhang](https://md.research.elamur.ai/free/en/authors/nan-zhang/).

2 papers in our library · 2025–2026

No OpenAlex profile matched yet.

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/dingling-xu/#papers) · [🔗 Cited 24 times in our library](https://md.research.elamur.ai/free/en/authors/dingling-xu/cited-by/) · [⭐ Paper Stars ranking: #8075](https://md.research.elamur.ai/free/en/paper-stars/page/81/#star-8075)

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

## 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).[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/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [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/)

🧭 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/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/dingling-xu/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/dingling-xu/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework](https://md.research.elamur.ai/free/en/papers/zhu-2025-rageval-scenario-specific-rag-evaluation/)** *(2025 · 34 citations)* Testing RAG systems in specialised fields such as law, finance or medicine is hard. Building expert-annotated, domain-specific test sets is expensive and raises privacy issues, and lexical metrics like BLEU or ROUGE-L judge long answers poorly. RAGEval addresses this by generating evaluation data automatically.…
2. **[R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/zhao-2026-r-search-empowering-llm-reasoning/)** *(2026 · 7 citations)* LLMs with strong reasoning skills still hallucinate on knowledge-heavy questions. Prompt-driven multi-step RAG pipelines also tend to choose poorly when and what to retrieve, and they keep reasoning and retrieval only loosely connected.

## Co-authors here

12 of 13 co-authors with a page, the most papers together first.

- [Ruobing Wang](https://md.research.elamur.ai/free/en/authors/ruobing-wang/) ×2
- [Kunlun Zhu](https://md.research.elamur.ai/free/en/authors/kunlun-zhu/)
- [Nan Zhang](https://md.research.elamur.ai/free/en/authors/nan-zhang/)
- [Shi Yu](https://md.research.elamur.ai/free/en/authors/shi-yu/)
- [Shuo Wang](https://md.research.elamur.ai/free/en/authors/shuo-wang/)
- [Xin Wang](https://md.research.elamur.ai/free/en/authors/xin-wang/)
- [Xu Han](https://md.research.elamur.ai/free/en/authors/xu-han/)
- [Yifan Luo](https://md.research.elamur.ai/free/en/authors/yifan-luo/)
- [Yishan Li](https://md.research.elamur.ai/free/en/authors/yishan-li/)
- [Yukun Yan](https://md.research.elamur.ai/free/en/authors/yukun-yan/)
- [Zhenghao Liu](https://md.research.elamur.ai/free/en/authors/zhenghao-liu/)
- [Zhichun Wang](https://md.research.elamur.ai/free/en/authors/zhichun-wang/)

## 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 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/): [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 24 times (of the 149,439 papers whose bibliographies we read); [6 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/dingling-xu/cited-by/).

Updated 31 October 2026
