--- title: "Boji Shan — author profile and papers — Elamur Research" description: "Boji Shan, Beijing University of Posts and Telecommunications: 3 papers on Elamur Research (2024–2025), h-index 1 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/boji-shan/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/boji-shan/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Boji Shan # Boji Shan Boji Shan 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/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Aonian Li](https://md.research.elamur.ai/free/en/authors/aonian-li/), [Bangwei Gong](https://md.research.elamur.ai/free/en/authors/bangwei-gong/), [Bo Yang](https://md.research.elamur.ai/free/en/authors/bo-yang/). 3 papers in our library · 2024–2025 [OpenAlex](https://openalex.org/A5095084073) · [**h-index 1**](https://openalex.org/authors/A5095084073) · [1 works](https://openalex.org/works?filter=author.id:A5095084073) · [5 citations](https://openalex.org/works?filter=author.id:A5095084073&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/boji-shan/#papers) · [🔗 Cited 205 times in our library](https://md.research.elamur.ai/free/en/authors/boji-shan/cited-by/) · [⭐ Paper Stars ranking: #6352](https://md.research.elamur.ai/free/en/paper-stars/page/64/#star-6352) 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=Boji+Shan) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Boji+Shan) · [dblp](https://dblp.org/search?q=Boji+Shan) · [ACL Anthology](https://aclanthology.org/search/?q=Boji+Shan) ## Affiliations [🎓**Beijing University of Posts and Telecommunications** Beijing · China 2024 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/beijing-university-of-posts-and-telecommunications/) 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 6 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/) · [Language and Linguistics · 3 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/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 2 Research subjects and languages the work is about.[Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/boji-shan/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/boji-shan/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Advancing LLM Reasoning Generalists with Preference Trees](https://md.research.elamur.ai/free/en/papers/yuan-2024-advancing-llm-reasoning-generalists-preference/)** *(2024 · 94 citations)* Open-source LLMs still lag far behind proprietary systems on hard, varied reasoning problems. The authors attribute this to scarce high-quality alignment data and to little study of preference learning for reasoning. They build ULTRAINTERACT, a dataset of difficult math, coding and logic problems drawn from 12… 2. **[MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention](https://md.research.elamur.ai/free/en/papers/minimax-2025-minimax-m1-scaling-test/)** *(2025 · 66 citations)* Reasoning models get better when they generate longer chains of thought. Standard softmax attention, however, has quadratic cost in sequence length, which makes long outputs expensive. MiniMax-M1 tackles this with an open-weight reasoning model built on a hybrid design. It starts from MiniMax-Text-01, a… 3. **[MiniMax-01: Scaling Foundation Models with Lightning Attention](https://md.research.elamur.ai/free/en/papers/minimax-2025-minimax-01-scaling-foundation/)** *(2025 · 50 citations)* Most current LLMs and VLMs handle 32K–256K tokens of context. That is often too little for tasks like reading whole books, working across entire code repositories, or many-shot in-context learning. The main obstacle is that softmax attention cost grows quadratically with length. MiniMax-01 addresses this with a… ## Co-authors here 12 of 21 co-authors with a page, the most papers together first. - [Aonian Li](https://md.research.elamur.ai/free/en/authors/aonian-li/) ×2 - [Bangwei Gong](https://md.research.elamur.ai/free/en/authors/bangwei-gong/) ×2 - [Bo Yang](https://md.research.elamur.ai/free/en/authors/bo-yang/) ×2 - [Cheng Zhu](https://md.research.elamur.ai/free/en/authors/cheng-zhu/) ×2 - [MiniMax](https://md.research.elamur.ai/free/en/authors/minimax/) ×2 - [Aili Chen](https://md.research.elamur.ai/free/en/authors/aili-chen/) - [Bowen Zhou](https://md.research.elamur.ai/free/en/authors/bowen-zhou/) - [Chang Liu](https://md.research.elamur.ai/free/en/authors/chang-liu/) - [Chao Wang](https://md.research.elamur.ai/free/en/authors/chao-wang/) - [Chengjun Xiao](https://md.research.elamur.ai/free/en/authors/chengjun-xiao/) - [Da Chen](https://md.research.elamur.ai/free/en/authors/da-chen/) - [Dong Li](https://md.research.elamur.ai/free/en/authors/dong-li/) ## Cited by Papers of our library cite their works 205 times (of the 149,439 papers whose bibliographies we read); [69 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/boji-shan/cited-by/). Updated 2 November 2026