--- title: "Kai Guo — author profile and papers — Elamur Research" description: "Kai Guo: 3 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/kai-guo/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/kai-guo/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Kai Guo # Kai Guo Kai Guo has 3 papers in our library, in 2025–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [English](https://md.research.elamur.ai/free/en/topics/english/); often with [Shenglai Zeng](https://md.research.elamur.ai/free/en/authors/shenglai-zeng/), [Hanqing Lu](https://md.research.elamur.ai/free/en/authors/hanqing-lu/), [Hui Liu](https://md.research.elamur.ai/free/en/authors/hui-liu/). 3 papers in our library · 2025–2026 No OpenAlex profile matched yet. [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/kai-guo/#papers) · [🔗 Cited 10 times in our library](https://md.research.elamur.ai/free/en/authors/kai-guo/cited-by/) · [⭐ Paper Stars ranking: #9270](https://md.research.elamur.ai/free/en/paper-stars/page/93/#star-9270) 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=Kai+Guo) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Kai+Guo) · [dblp](https://dblp.org/search?q=Kai+Guo) · [ACL Anthology](https://aclanthology.org/search/?q=Kai+Guo) ## 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).[Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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 · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 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/) · [English · 1 work](https://md.research.elamur.ai/free/en/topics/english/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/kai-guo/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/kai-guo/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[Empowering GraphRAG with Knowledge Filtering and Integration](https://md.research.elamur.ai/free/en/papers/guo-2025-empowering-graphrag-knowledge-filtering-integration/)** *(2025 · 12 citations)* Graph retrieval-augmented generation (GraphRAG) supplements LLMs with facts from knowledge graphs, but the authors show it has two weaknesses. 2. **[Towards Context-Robust LLMs: A Gated Representation Fine-tuning Approach](https://md.research.elamur.ai/free/en/papers/zeng-2025-context-robust-llms-gated-representation/)** *(2025 · 5 citations)* LLMs that receive retrieved passages, as in RAG, tend to trust that text too much. Misleading or off-topic passages can override knowledge the model already has. The authors define a "context-robust" LLM by four behaviours: 3. **[AI Slop or AI-enhancement? Student perceptions of AI-generated media for an English for Academic Purposes course](https://md.research.elamur.ai/free/en/papers/woo-2026-ai-slop-ai-enhancement-student/)** *(2026)* The paper asks whether multimedia that a teacher produces with retrieval-augmented generation (RAG) tools actually helps learners, or whether it only fills the course site with low-value "AI slop". ## Co-authors here 8 co-authors with a page, the most papers together first. - [Shenglai Zeng](https://md.research.elamur.ai/free/en/authors/shenglai-zeng/) ×2 - [Hanqing Lu](https://md.research.elamur.ai/free/en/authors/hanqing-lu/) - [Hui Liu](https://md.research.elamur.ai/free/en/authors/hui-liu/) - [Jiliang Tang](https://md.research.elamur.ai/free/en/authors/jiliang-tang/) - [Pengfei He](https://md.research.elamur.ai/free/en/authors/pengfei-he/) - [Tianqi Zheng](https://md.research.elamur.ai/free/en/authors/tianqi-zheng/) - [Yu Wang](https://md.research.elamur.ai/free/en/authors/yu-wang/) - [Yue Xing](https://md.research.elamur.ai/free/en/authors/yue-xing/) ## 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/) - [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 10 times (of the 149,439 papers whose bibliographies we read); [3 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/kai-guo/cited-by/). Updated 30 October 2026