--- title: "Meng Xi · Zhejiang University — author profile and papers" description: "Meng Xi, Zhejiang University: 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/meng-xi/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/meng-xi/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Meng Xi # Meng Xi Meng Xi has 2 papers in our library, in 2026, most of them on [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Jianwei Yin](https://md.research.elamur.ai/free/en/authors/jianwei-yin/), [Qifei Zhang](https://md.research.elamur.ai/free/en/authors/qifei-zhang/), [Tao Jin](https://md.research.elamur.ai/free/en/authors/tao-jin/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139781611) · [**h-index 0**](https://openalex.org/authors/A5139781611) · [2 works](https://openalex.org/works?filter=author.id:A5139781611) · [0 citations](https://openalex.org/works?filter=author.id:A5139781611&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/meng-xi/#papers) · [⭐ Paper Stars ranking: #13778](https://md.research.elamur.ai/free/en/paper-stars/page/138/#star-13778) 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=Meng+Xi) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Meng+Xi) · [dblp](https://dblp.org/search?q=Meng+Xi) · [ACL Anthology](https://aclanthology.org/search/?q=Meng+Xi) ## Affiliations [🎓**Zhejiang University** Hangzhou · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) 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/) · [Human-Computer Interaction · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/human-computer-interaction/) 🧭 Topics 2 Research subjects and languages the work is about.[Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [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/meng-xi/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[RIPRAG: Hack a Black-box Retrieval-Augmented Generation Question-Answering System with Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/xi-2026-riprag-hack-black-box-retrieval/)** *(2026)* This paper examines how vulnerable retrieval-augmented QA systems are to corpus poisoning. In this attack, someone plants crafted documents in the retrieval database so the system gives a chosen false answer. Earlier white-box attacks need gradients or internal details, which modern pipelines (hybrid search… 2. **[SAME: Signer-Aware Mixture-of-Experts for Test-Time Adaptation in Sign Language Translation](https://md.research.elamur.ai/free/en/papers/yang-2026-same-signer-aware-mixture-experts/)** *(2026)* Sign language translation (SLT) systems often lose accuracy in deployment when signers, lighting or backgrounds differ from the training data. ## Co-authors here 6 co-authors with a page, the most papers together first. - [Jianwei Yin](https://md.research.elamur.ai/free/en/authors/jianwei-yin/) ×2 - [Qifei Zhang](https://md.research.elamur.ai/free/en/authors/qifei-zhang/) - [Tao Jin](https://md.research.elamur.ai/free/en/authors/tao-jin/) - [Weicai Yan](https://md.research.elamur.ai/free/en/authors/weicai-yan/) - [Ying Li](https://md.research.elamur.ai/free/en/authors/ying-li/) - [Yongbo He](https://md.research.elamur.ai/free/en/authors/yongbo-he/) ## 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