--- title: "Xiaolong Weng — author profile and papers — Elamur Research" description: "Xiaolong Weng: 2 papers on Elamur Research (2026) — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/xiaolong-weng/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xiaolong-weng/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xiaolong Weng # Xiaolong Weng Xiaolong Weng has 2 papers in our library, in 2026, most of them on [Named entity recognition](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/), [Information extraction](https://md.research.elamur.ai/free/en/topics/information-extraction/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Boyu Qiu](https://md.research.elamur.ai/free/en/authors/boyu-qiu/), [Buzhou Tang](https://md.research.elamur.ai/free/en/authors/buzhou-tang/), [Ying Xiong](https://md.research.elamur.ai/free/en/authors/ying-xiong/). 2 papers in our library · 2026 No OpenAlex profile matched yet. [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/xiaolong-weng/#papers) · [⭐ Paper Stars ranking: #14011](https://md.research.elamur.ai/free/en/paper-stars/page/141/#star-14011) 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=Xiaolong+Weng) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xiaolong+Weng) · [dblp](https://dblp.org/search?q=Xiaolong+Weng) · [ACL Anthology](https://aclanthology.org/search/?q=Xiaolong+Weng) ## 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).[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/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 3 Research subjects and languages the work is about.[Information extraction · 1 work](https://md.research.elamur.ai/free/en/topics/information-extraction/) · [Named entity recognition · 1 work](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/xiaolong-weng/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[AnchorAlign: A Novel Anchor Alignment-enhanced Generative Method for Joint Named Entity Recognition and Relation Extraction](https://md.research.elamur.ai/free/en/papers/weng-2026-anchoralign-novel-anchor-alignment-enhanced/)** *(2026)* Generative models now dominate information extraction, but joint systems that both recognize named entities (NER) and extract the relations among them (RE) often produce outputs that disagree. 2. **[SR-RAG: Verifiable Multi-Hop Reasoning via On-the-fly Symbolic Graph Construction](https://md.research.elamur.ai/free/en/papers/wang-2026-sr-rag-verifiable-multi-hop/)** *(2026)* Multi-hop question answering is still difficult for retrieval-augmented generation. Aggregate-first systems such as GraphRAG build a corpus-wide knowledge graph in advance, which is costly and hard to keep current. Dynamic-first agents such as ReAct alternate retrieval and generation, but one wrong intermediate… ## Co-authors here 5 co-authors with a page, the most papers together first. - [Boyu Qiu](https://md.research.elamur.ai/free/en/authors/boyu-qiu/) ×2 - [Buzhou Tang](https://md.research.elamur.ai/free/en/authors/buzhou-tang/) ×2 - [Ying Xiong](https://md.research.elamur.ai/free/en/authors/ying-xiong/) ×2 - [Zehua Wang](https://md.research.elamur.ai/free/en/authors/zehua-wang/) ×2 - [Min Zhang](https://md.research.elamur.ai/free/en/authors/min-zhang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2 Updated 2 November 2026