--- title: "Xiaoxi Li — author profile and papers — Elamur Research" description: "Xiaoxi Li, Xiaohongshu (Little Red Book): 4 papers on Elamur Research (2025), h-index 13 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/xiaoxi-li/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xiaoxi-li/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xiaoxi Li # Xiaoxi Li Xiaoxi Li has 4 papers in our library, in 2025, most of them on [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/), [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 [Jiajie Jin](https://md.research.elamur.ai/free/en/authors/jiajie-jin/), [Zhicheng Dou](https://md.research.elamur.ai/free/en/authors/zhicheng-dou/), [Guanting Dong](https://md.research.elamur.ai/free/en/authors/guanting-dong/). 4 papers in our library · 2025 [OpenAlex](https://openalex.org/A5100667935) · [ORCID](https://orcid.org/0009-0003-0708-418X) · [Wikidata](https://www.wikidata.org/wiki/Q130800382) · [**h-index 13**](https://openalex.org/authors/A5100667935) · [71 works](https://openalex.org/works?filter=author.id:A5100667935) · [452 citations](https://openalex.org/works?filter=author.id:A5100667935&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/xiaoxi-li/#papers) · [🔗 Cited 196 times in our library](https://md.research.elamur.ai/free/en/authors/xiaoxi-li/cited-by/) · [⭐ Paper Stars ranking: #5169](https://md.research.elamur.ai/free/en/paper-stars/page/52/#star-5169) 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=Xiaoxi+Li) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xiaoxi+Li) · [dblp](https://dblp.org/search?q=Xiaoxi+Li) · [ACL Anthology](https://aclanthology.org/search/?q=Xiaoxi+Li) ## Affiliations [🎓**Renmin University of China** Beijing · China 2024–2026 · 20 papersEmployment*current*](https://md.research.elamur.ai/free/en/universities/renmin-university-of-china/) · [🏢**Xiaohongshu (Little Red Book)** Shanghai · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/xiaohongshu-little-red-book/) · [🎓**Beijing Normal University** Beijing · China 2008–2020 · 7 papers](https://md.research.elamur.ai/free/en/universities/beijing-normal-university/) · [🏢**IFlyTek** Hefei · China 2021–2025 · 5 papers](https://md.research.elamur.ai/free/en/companies/iflytek/) · [🎓**University of Electronic Science and Technology of China** Chengdu · China 2016–2020 · 3 papers](https://md.research.elamur.ai/free/en/universities/university-of-electronic-science-and-technology-of-china/) · [🎓**Huazhong University of Science and Technology** Wuhan · China 2020–2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/huazhong-university-of-science-and-technology/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 14 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 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Information Systems · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 3 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Information retrieval & search · 2 works](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2025** 4 papers](https://md.research.elamur.ai/free/en/authors/xiaoxi-li/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[Search-o1: Agentic Search-Enhanced Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/li-2025-search-o1-agentic-search-enhanced/)** *(2025 · 211 citations)* Large reasoning models (LRMs) such as OpenAI-o1 or QwQ produce long chains of thought, and those chains often run into gaps in what the model knows. 2. **[Hierarchical Document Refinement for Long-context Retrieval-augmented Generation](https://md.research.elamur.ai/free/en/papers/jin-2025-hierarchical-document-refinement-long-context/)** *(2025 · 25 citations)* Retrieval-augmented generation (RAG) often feeds an LLM very long retrieved documents. These texts carry much irrelevant material, which raises inference cost and lowers answer quality. Existing compressors either target short chunks or rank tokens with crude signals such as perplexity, so they ignore how a document… 3. **[RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation](https://md.research.elamur.ai/free/en/papers/li-2025-retrollm-empowering-large-language-models/)** *(2025 · 19 citations)* RetroLLM targets three weaknesses of standard retrieval-augmented generation (RAG): the cost of running a separate retriever, long inputs padded with redundant retrieved chunks, and the fact that retrieval and generation cannot be optimized together. 4. **[RAG-Critic: Leveraging Automated Critic-Guided Agentic Workflow for Retrieval Augmented Generation](https://md.research.elamur.ai/free/en/papers/dong-2025-rag-critic-leveraging-automated-critic/)** *(2025 · 14 citations)* Retrieval-augmented generation (RAG) systems fail in many subtle ways. Typical problems include noisy retrieval, missing details and factual slips. Generic LLM judges rarely diagnose these precisely, and hand-crafted error taxonomies generalize poorly and cost a lot to build. RAG-Critic tackles this in three stages.… ## Co-authors here 11 co-authors with a page, the most papers together first. - [Jiajie Jin](https://md.research.elamur.ai/free/en/authors/jiajie-jin/) ×4 - [Zhicheng Dou](https://md.research.elamur.ai/free/en/authors/zhicheng-dou/) ×4 - [Guanting Dong](https://md.research.elamur.ai/free/en/authors/guanting-dong/) ×3 - [Yutao Zhu](https://md.research.elamur.ai/free/en/authors/yutao-zhu/) ×3 - [Ye Qi](https://md.research.elamur.ai/free/en/authors/ye-qi/) ×2 - [Yongkang Wu](https://md.research.elamur.ai/free/en/authors/yongkang-wu/) ×2 - [Yujia Zhou](https://md.research.elamur.ai/free/en/authors/yujia-zhou/) ×2 - [Yuyao Zhang](https://md.research.elamur.ai/free/en/authors/yuyao-zhang/) ×2 - [Zhonghua Li](https://md.research.elamur.ai/free/en/authors/zhonghua-li/) ×2 - [Ji-Rong Wen](https://md.research.elamur.ai/free/en/authors/ji-rong-wen/) - [Peitian Zhang](https://md.research.elamur.ai/free/en/authors/peitian-zhang/) ## 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/) ×3: [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ×3 - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/) ## Cited by Papers of our library cite their works 196 times (of the 149,439 papers whose bibliographies we read); [60 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xiaoxi-li/cited-by/). Updated 30 October 2026