--- title: "Jun Wan — author profile and papers — Elamur Research" description: "Jun Wan, Union Bank of Switzerland: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/jun-wan/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jun-wan/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jun Wan # Jun Wan Jun Wan 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 [Baolong Bi](https://md.research.elamur.ai/free/en/authors/baolong-bi/), [Lingrui Mei](https://md.research.elamur.ai/free/en/authors/lingrui-mei/), [Shenghua Liu](https://md.research.elamur.ai/free/en/authors/shenghua-liu/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139829104) · [**h-index 0**](https://openalex.org/authors/A5139829104) · [2 works](https://openalex.org/works?filter=author.id:A5139829104) · [0 citations](https://openalex.org/works?filter=author.id:A5139829104&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jun-wan/#papers) · [🔗 Cited 6 times in our library](https://md.research.elamur.ai/free/en/authors/jun-wan/cited-by/) · [⭐ Paper Stars ranking: #10406](https://md.research.elamur.ai/free/en/paper-stars/page/105/#star-10406) 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=Jun+Wan) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jun+Wan) · [dblp](https://dblp.org/search?q=Jun+Wan) · [ACL Anthology](https://aclanthology.org/search/?q=Jun+Wan) ## Affiliations [🤝**Union Bank of Switzerland** Zurich · Switzerland 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/ngos/union-bank-of-switzerland/) 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 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 2 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/jun-wan/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Gated Differentiable Working Memory for Long-Context Language Modeling](https://md.research.elamur.ai/free/en/papers/mei-2026-gated-differentiable-working-memory-long/)** *(2026 · 4 citations)* Long inputs remain difficult for transformer LLMs. Attention spreads thin over thousands of tokens, and evidence placed mid-document is often overlooked. Test-time training methods such as qTTT address this by briefly fine-tuning "fast weights" on the given context. However, they sample positions uniformly, so they… 2. **[a1: Steep Test-time Scaling Law via Environment Augmented Generation](https://md.research.elamur.ai/free/en/papers/mei-2026-a1-steep-test-time-scaling/)** *(2026 · 2 citations)* LLMs often fail at long multi-step reasoning. They usually generate a whole solution in one pass with no intermediate checks, so an early mistake carries through to the final answer. The authors propose Environment Augmented Generation (EAG), which casts reasoning as a Markov Decision Process. While generating, the… ## Co-authors here 7 co-authors with a page, the most papers together first. - [Baolong Bi](https://md.research.elamur.ai/free/en/authors/baolong-bi/) ×2 - [Lingrui Mei](https://md.research.elamur.ai/free/en/authors/lingrui-mei/) ×2 - [Shenghua Liu](https://md.research.elamur.ai/free/en/authors/shenghua-liu/) ×2 - [Xueqi Cheng](https://md.research.elamur.ai/free/en/authors/xueqi-cheng/) ×2 - [Yiwei Wang](https://md.research.elamur.ai/free/en/authors/yiwei-wang/) ×2 - [Yuyao Ge](https://md.research.elamur.ai/free/en/authors/yuyao-ge/) ×2 - [Jiafeng Guo](https://md.research.elamur.ai/free/en/authors/jiafeng-guo/) ## 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/) ## Cited by Papers of our library cite their works 6 times (of the 149,439 papers whose bibliographies we read); [2 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jun-wan/cited-by/). Updated 31 October 2026