--- title: "Teng Xiao — author profile and papers — Elamur Research" description: "Teng Xiao, University of Washington: 2 papers on Elamur Research (2026), h-index 2 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/teng-xiao/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/teng-xiao/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Teng Xiao # Teng Xiao Teng Xiao 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/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Bingbing Xu](https://md.research.elamur.ai/free/en/authors/bingbing-xu/), [Bolin Ding](https://md.research.elamur.ai/free/en/authors/bolin-ding/), [Jinyang Gao](https://md.research.elamur.ai/free/en/authors/jinyang-gao/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5127828490) · [**h-index 2**](https://openalex.org/authors/A5127828490) · [15 works](https://openalex.org/works?filter=author.id:A5127828490) · [20 citations](https://openalex.org/works?filter=author.id:A5127828490&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/teng-xiao/#papers) · 🔗 Cited 1 time in our library · [⭐ Paper Stars ranking: #11701](https://md.research.elamur.ai/free/en/paper-stars/page/118/#star-11701) 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=Teng+Xiao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Teng+Xiao) · [dblp](https://dblp.org/search?q=Teng+Xiao) · [ACL Anthology](https://aclanthology.org/search/?q=Teng+Xiao) ## Affiliations [🔬**Allen Institute for Artificial Intelligence** Seattle · United States 2025–2026 · 6 papers*current*](https://md.research.elamur.ai/free/en/labs/allen-institute-for-artificial-intelligence/) · [🎓**University of Washington** Seattle · United States 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-washington/) · [🎓**Wuhan University** Wuhan · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/wuhan-university/) · [🎓**Hubei University of Technology** Wuhan · China 2026 · 1 paper*current*](https://ror.org/02d3fj342) 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).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 2 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/teng-xiao/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Incentivizing Strong Reasoning from Weak Supervision](https://md.research.elamur.ai/free/en/papers/yuan-2026-incentivizing-strong-reasoning-weak-supervision/)** *(2026 · 1 citation)* Improving LLM reasoning usually requires either reinforcement learning with verifiable rewards, which is compute-intensive, or SFT on long chain-of-thought (CoT) data from very strong teachers, which is costly to obtain. 2. **[From AR to Diffusion: Efficiently Adapting Large Language Models with Strictly Causal and Elastic Horizons](https://md.research.elamur.ai/free/en/papers/ma-2026-ar-diffusion-efficiently-adapting-large/)** *(2026)* Diffusion language models can produce several tokens at once. However, they usually depend on bidirectional attention, which conflicts with how pre-trained autoregressive (AR) models such as GPT-style LLMs are built. Because of this, they are often trained from scratch at great cost. Existing block diffusion methods… ## Co-authors here 7 co-authors with a page, the most papers together first. - [Bingbing Xu](https://md.research.elamur.ai/free/en/authors/bingbing-xu/) - [Bolin Ding](https://md.research.elamur.ai/free/en/authors/bolin-ding/) - [Jinyang Gao](https://md.research.elamur.ai/free/en/authors/jinyang-gao/) - [Lefei Zhang](https://md.research.elamur.ai/free/en/authors/lefei-zhang/) - [Shuchang Tao](https://md.research.elamur.ai/free/en/authors/shuchang-tao/) - [Yige Yuan](https://md.research.elamur.ai/free/en/authors/yige-yuan/) - [Zuchao Li](https://md.research.elamur.ai/free/en/authors/zuchao-li/) ## 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/) - [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/): [EACL 2026](https://md.research.elamur.ai/free/en/venues/eacl/2026/) ## Cited by Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read). Updated 1 November 2026