--- title: "Xin Men — author profile and papers — Elamur Research" description: "Xin Men, Baichuan: 3 papers on Elamur Research (2024–2025), h-index 2 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/xin-men/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xin-men/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xin Men # Xin Men Xin Men has 3 papers in our library, in 2024–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Bingning Wang](https://md.research.elamur.ai/free/en/authors/bingning-wang/), [Hongyu Lin](https://md.research.elamur.ai/free/en/authors/hongyu-lin/), [Mingyu Xu](https://md.research.elamur.ai/free/en/authors/mingyu-xu/). 3 papers in our library · 2024–2025 [OpenAlex](https://openalex.org/A5109724260) · [**h-index 2**](https://openalex.org/authors/A5109724260) · [5 works](https://openalex.org/works?filter=author.id:A5109724260) · [62 citations](https://openalex.org/works?filter=author.id:A5109724260&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/xin-men/#papers) · [🔗 Cited 181 times in our library](https://md.research.elamur.ai/free/en/authors/xin-men/cited-by/) · [⭐ Paper Stars ranking: #5414](https://md.research.elamur.ai/free/en/paper-stars/page/55/#star-5414) 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=Xin+Men) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xin+Men) · [dblp](https://dblp.org/search?q=Xin+Men) · [ACL Anthology](https://aclanthology.org/search/?q=Xin+Men) ## Affiliations [🏢**Baichuan** Beijing · China 2024–2025 · 2 papers*current*](https://md.research.elamur.ai/free/en/companies/baichuan/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution 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 · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 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/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) ## Works by year ### 2020s [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/xin-men/year/2025/) · [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/xin-men/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[ShortGPT: Layers in Large Language Models are More Redundant Than You Expect](https://md.research.elamur.ai/free/en/papers/men-2024-shortgpt-layers-large-language-models/)** *(2024 · 170 citations)* Modern LLMs are expensive to deploy, and many existing pruning techniques are complicated, for example those that require gradients. 2. **[Kimi Linear: An Expressive, Efficient Attention Architecture](https://md.research.elamur.ai/free/en/papers/kimi-team-2025-kimi-linear-expressive-efficient/)** *(2025 · 51 citations)* Softmax attention becomes a bottleneck for agentic and RL-heavy LLM workloads. Its cost grows quadratically with sequence length, and its KV cache keeps expanding during long decoding. Earlier linear-attention and hybrid designs saved compute but usually lost quality or were only tested at small scale. The Kimi Team… 3. **[Base of RoPE Bounds Context Length](https://md.research.elamur.ai/free/en/papers/men-2024-base-rope-bounds-context/)** *(2024 · 12 citations)* RoPE is the standard position encoding in many LLMs, and context windows are usually extended by changing its single hyperparameter, the base. ## Co-authors here 12 co-authors with a page, the most papers together first. - [Bingning Wang](https://md.research.elamur.ai/free/en/authors/bingning-wang/) ×2 - [Hongyu Lin](https://md.research.elamur.ai/free/en/authors/hongyu-lin/) ×2 - [Mingyu Xu](https://md.research.elamur.ai/free/en/authors/mingyu-xu/) ×2 - [Qingyu Zhang](https://md.research.elamur.ai/free/en/authors/qingyu-zhang/) ×2 - [Weipeng Chen](https://md.research.elamur.ai/free/en/authors/weipeng-chen/) ×2 - [Xianpei Han](https://md.research.elamur.ai/free/en/authors/xianpei-han/) ×2 - [Enzhe Lu](https://md.research.elamur.ai/free/en/authors/enzhe-lu/) - [Jiaxi Hu](https://md.research.elamur.ai/free/en/authors/jiaxi-hu/) - [Kimi Team](https://md.research.elamur.ai/free/en/authors/kimi-team/) - [Xingcheng Yao](https://md.research.elamur.ai/free/en/authors/xingcheng-yao/) - [Yaojie Lu](https://md.research.elamur.ai/free/en/authors/yaojie-lu/) - [Yu Zhang](https://md.research.elamur.ai/free/en/authors/yu-zhang/) ## Cited by Papers of our library cite their works 181 times (of the 149,439 papers whose bibliographies we read); [28 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xin-men/cited-by/). Updated 30 October 2026