---
title: "Xiangqing Shen — author profile and papers — Elamur Research"
description: "Xiangqing Shen, Nanjing University of Science and Technology: 2 papers on Elamur Research (2026), h-index 5 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/xiangqing-shen/"
---
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# Xiangqing Shen

Xiangqing Shen 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/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Knowledge graphs & ontologies](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/); often with [Rui Xia](https://md.research.elamur.ai/free/en/authors/rui-xia/), [Jianfei Yu](https://md.research.elamur.ai/free/en/authors/jianfei-yu/), [Xinyu Dai](https://md.research.elamur.ai/free/en/authors/xinyu-dai/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5028086891) · [ORCID](https://orcid.org/0000-0002-9825-7853) · [Wikidata](https://www.wikidata.org/wiki/Q131164335) · [**h-index 5**](https://openalex.org/authors/A5028086891) · [24 works](https://openalex.org/works?filter=author.id:A5028086891) · [186 citations](https://openalex.org/works?filter=author.id:A5028086891&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/xiangqing-shen/#papers) · [⭐ Paper Stars ranking: #14003](https://md.research.elamur.ai/free/en/paper-stars/page/141/#star-14003)

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

## Affiliations

[🎓**Nanjing University of Science and Technology** Nanjing · China 2023–2026 · 14 papers*current*](https://md.research.elamur.ai/free/en/universities/nanjing-university-of-science-and-technology/) · [🎓**Nanjing University** Nanjing · China 2025–2026 · 8 papers*current*](https://md.research.elamur.ai/free/en/universities/nanjing-university/) · [🎓**China University of Mining and Technology** Xuzhou · China 2020 · 2 papers](https://ror.org/01xt2dr21)

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/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 4 Research subjects and languages the work is about.[Knowledge graphs & ontologies · 1 work](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) · [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/) · [Semantic parsing & meaning representation · 1 work](https://md.research.elamur.ai/free/en/topics/semantic-parsing/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/xiangqing-shen/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Interactive Semantic Parsing with Reinforcement Learning for Knowledge Graph Reasoning](https://md.research.elamur.ai/free/en/papers/song-2026-interactive-semantic-parsing-reinforcement-learning/)** *(2026)* LLMs often hallucinate facts on knowledge-heavy questions. Most knowledge-graph (KG) augmented methods simply walk along graph edges, which leaves constraints such as time filters or counting to be handled afterwards. Classical semantic parsing expresses this logic in executable queries, but it depends on scarce…
2. **[Optimizing RAG Rerankers with LLM Feedback via Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/wu-2026-optimizing-rag-rerankers-llm-feedback/)** *(2026)* Rerankers in RAG pipelines are usually trained on fixed human relevance labels and judged by IR metrics such as NDCG, independent of the LLM that consumes the documents.

## Co-authors here

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

- [Rui Xia](https://md.research.elamur.ai/free/en/authors/rui-xia/) ×2
- [Jianfei Yu](https://md.research.elamur.ai/free/en/authors/jianfei-yu/)
- [Xinyu Dai](https://md.research.elamur.ai/free/en/authors/xinyu-dai/)
- [Yuhang Wu](https://md.research.elamur.ai/free/en/authors/yuhang-wu/)
- [Yurun Song](https://md.research.elamur.ai/free/en/authors/yurun-song/)
- [Zhen Wu](https://md.research.elamur.ai/free/en/authors/zhen-wu/)

## 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
