--- title: "Yuyao Ge — author profile and papers — Elamur Research" description: "Yuyao Ge, Chinese Academy of Sciences: 4 papers on Elamur Research (2025–2026), h-index 4 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/yuyao-ge/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yuyao-ge/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yuyao Ge # Yuyao Ge Yuyao Ge has 4 papers in our library, in 2025–2026, 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/). 4 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5101263698) · [ORCID](https://orcid.org/0009-0001-3418-9679) · [**h-index 4**](https://openalex.org/authors/A5101263698) · [23 works](https://openalex.org/works?filter=author.id:A5101263698) · [38 citations](https://openalex.org/works?filter=author.id:A5101263698&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/yuyao-ge/#papers) · [🔗 Cited 13 times in our library](https://md.research.elamur.ai/free/en/authors/yuyao-ge/cited-by/) · [⭐ Paper Stars ranking: #10549](https://md.research.elamur.ai/free/en/paper-stars/page/106/#star-10549) 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=Yuyao+Ge) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yuyao+Ge) · [dblp](https://dblp.org/search?q=Yuyao+Ge) · [ACL Anthology](https://aclanthology.org/search/?q=Yuyao+Ge) ## Affiliations [🔬**Institute of Computing Technology** Beijing · China 2024–2026 · 12 papers*current*](https://md.research.elamur.ai/free/en/labs/institute-of-computing-technology/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2024–2026 · 11 papers*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2024–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🎓**North China University of Technology** Beijing · China 2023–2024 · 4 papers](https://md.research.elamur.ai/free/en/universities/north-china-university-of-technology/) 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 · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 3 works](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.[Language models & pretraining · 2 works](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** 3 papers](https://md.research.elamur.ai/free/en/authors/yuyao-ge/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/yuyao-ge/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[Can Graph Descriptive Order Affect Solving Graph Problems with LLMs?](https://md.research.elamur.ai/free/en/papers/ge-2025-can-graph-descriptive-order-affect/)** *(2025 · 10 citations)* Studies of LLM graph reasoning usually turn a graph into text by listing its edges in an arbitrary sequence. 2. **[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… 3. **[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… 4. **[Are All Prompt Components Value-Neutral? Understanding the Heterogeneous Adversarial Robustness of Dissected Prompt in LLMs](https://md.research.elamur.ai/free/en/papers/zheng-2026-are-all-prompt-components-value/)** *(2026)* Most work on adversarial prompting treats a prompt as one undivided string. This paper argues instead that prompts are built from functional parts, and that these parts differ in how easily an attack can exploit them. ## Co-authors here 10 co-authors with a page, the most papers together first. - [Baolong Bi](https://md.research.elamur.ai/free/en/authors/baolong-bi/) ×3 - [Lingrui Mei](https://md.research.elamur.ai/free/en/authors/lingrui-mei/) ×3 - [Shenghua Liu](https://md.research.elamur.ai/free/en/authors/shenghua-liu/) ×3 - [Xueqi Cheng](https://md.research.elamur.ai/free/en/authors/xueqi-cheng/) ×3 - [Yiwei Wang](https://md.research.elamur.ai/free/en/authors/yiwei-wang/) ×3 - [Jun Wan](https://md.research.elamur.ai/free/en/authors/jun-wan/) ×2 - [Jiafeng Guo](https://md.research.elamur.ai/free/en/authors/jiafeng-guo/) - [Jingyu Lu](https://md.research.elamur.ai/free/en/authors/jingyu-lu/) - [Tianhao Li](https://md.research.elamur.ai/free/en/authors/tianhao-li/) - [Yujia Zheng](https://md.research.elamur.ai/free/en/authors/yujia-zheng/) ## 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/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) - [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/) - [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 13 times (of the 149,439 papers whose bibliographies we read); [4 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yuyao-ge/cited-by/). Updated 2 November 2026