--- title: "Xinnan Dai — author profile and papers — Elamur Research" description: "Xinnan Dai, Michigan State University: 2 papers on Elamur Research (2026), h-index 7 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/xinnan-dai/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xinnan-dai/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xinnan Dai # Xinnan Dai Xinnan Dai 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/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Dante Everaert](https://md.research.elamur.ai/free/en/authors/dante-everaert/), [Kai Guo](https://md.research.elamur.ai/free/en/authors/kai-guo/), [Monica Xiao Cheng](https://md.research.elamur.ai/free/en/authors/monica-xiao-cheng/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5040152034) · [**h-index 7**](https://openalex.org/authors/A5040152034) · [17 works](https://openalex.org/works?filter=author.id:A5040152034) · [209 citations](https://openalex.org/works?filter=author.id:A5040152034&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/xinnan-dai/#papers) · [⭐ Paper Stars ranking: #13191](https://md.research.elamur.ai/free/en/paper-stars/page/132/#star-13191) 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=Xinnan+Dai) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xinnan+Dai) · [dblp](https://dblp.org/search?q=Xinnan+Dai) · [ACL Anthology](https://aclanthology.org/search/?q=Xinnan+Dai) ## Affiliations [🎓**Michigan State University** East Lansing · United States 2023–2026 · 6 papers*current*](https://md.research.elamur.ai/free/en/universities/michigan-state-university/) · [🎓**ShanghaiTech University** Shanghai · China 2019–2023 · 4 papers](https://md.research.elamur.ai/free/en/universities/shanghaitech-university/) · [🎓**Southwest University of Science and Technology** Mianyang · China 2019 · 2 papers](https://ror.org/04d996474) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 5 The field of science this work belongs to (OpenAlex fields).[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/) · [Artificial Intelligence · 2 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/) 🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/xinnan-dai/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Exploring Graph Learning Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation](https://md.research.elamur.ai/free/en/papers/wang-2026-exploring-graph-learning-tasks-pure/)** *(2026 · 1 citation)* LLM-based graph learning studies use inconsistent datasets, preprocessing and splits, so it remains unclear how pure LLMs compare with dedicated graph models. 2. **[Attn-GS: Attention-Guided Context Compression for Efficient Personalized LLMs](https://md.research.elamur.ai/free/en/papers/zeng-2026-attn-gs-attention-guided-context/)** *(2026)* Personalizing LLMs usually means feeding them long user histories and profiles, which raises inference latency and API costs. ## Co-authors here 8 co-authors with a page, the most papers together first. - [Dante Everaert](https://md.research.elamur.ai/free/en/authors/dante-everaert/) - [Kai Guo](https://md.research.elamur.ai/free/en/authors/kai-guo/) - [Monica Xiao Cheng](https://md.research.elamur.ai/free/en/authors/monica-xiao-cheng/) - [Shenglai Zeng](https://md.research.elamur.ai/free/en/authors/shenglai-zeng/) - [Tianqi Zheng](https://md.research.elamur.ai/free/en/authors/tianqi-zheng/) - [Wenqi Fan](https://md.research.elamur.ai/free/en/authors/wenqi-fan/) - [Yao Ma](https://md.research.elamur.ai/free/en/authors/yao-ma/) - [Yuxiang Wang](https://md.research.elamur.ai/free/en/authors/yuxiang-wang/) ## 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