--- title: "Chengjun Xiao — author profile and papers · Reasoning" description: "Chengjun Xiao: 2 papers on Elamur Research (2025–2026), h-index 0 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/chengjun-xiao/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/chengjun-xiao/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Chengjun Xiao # Chengjun Xiao Chengjun Xiao has 2 papers in our library, in 2025–2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Aili Chen](https://md.research.elamur.ai/free/en/authors/aili-chen/), [Aonian Li](https://md.research.elamur.ai/free/en/authors/aonian-li/), [Bangwei Gong](https://md.research.elamur.ai/free/en/authors/bangwei-gong/). 2 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5123213059) · [**h-index 0**](https://openalex.org/authors/A5123213059) · [5 works](https://openalex.org/works?filter=author.id:A5123213059) · [0 citations](https://openalex.org/works?filter=author.id:A5123213059&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/chengjun-xiao/#papers) · [🔗 Cited 70 times in our library](https://md.research.elamur.ai/free/en/authors/chengjun-xiao/cited-by/) · [⭐ Paper Stars ranking: #7330](https://md.research.elamur.ai/free/en/paper-stars/page/74/#star-7330) 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=Chengjun+Xiao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Chengjun+Xiao) · [dblp](https://dblp.org/search?q=Chengjun+Xiao) · [ACL Anthology](https://aclanthology.org/search/?q=Chengjun+Xiao) ## 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/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 1 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/chengjun-xiao/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/chengjun-xiao/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[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… 2. **[OctoBench: Benchmarking Scaffold-Aware Instruction Following in Repository-Grounded Agentic Coding](https://md.research.elamur.ai/free/en/papers/ding-2026-octobench-benchmarking-scaffold-aware-instruction/)** *(2026 · 4 citations)* Coding scaffolds such as Claude Code, Kilo and Droid turn LLMs into repository-level agents. Existing evaluations are either single-turn instruction-following tests or outcome-based agent benchmarks that check whether tests pass. Neither shows whether an agent respects rules that come from many sources and must be… ## Co-authors here 11 co-authors with a page, the most papers together first. - [Aili Chen](https://md.research.elamur.ai/free/en/authors/aili-chen/) - [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/) - [Boji Shan](https://md.research.elamur.ai/free/en/authors/boji-shan/) - [Chao Wang](https://md.research.elamur.ai/free/en/authors/chao-wang/) - [Cheng Zhu](https://md.research.elamur.ai/free/en/authors/cheng-zhu/) - [MiniMax](https://md.research.elamur.ai/free/en/authors/minimax/) - [Qi Zhang](https://md.research.elamur.ai/free/en/authors/qi-zhang/) - [Shichun Liu](https://md.research.elamur.ai/free/en/authors/shichun-liu/) - [Shihan Dou](https://md.research.elamur.ai/free/en/authors/shihan-dou/) ## 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/) ## Cited by Papers of our library cite their works 70 times (of the 149,439 papers whose bibliographies we read); [24 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/chengjun-xiao/cited-by/). Updated 31 October 2026