--- title: "Suyu Ge — author profile and papers — Elamur Research" description: "Suyu Ge, University of Illinois Urbana-Champaign: 2 papers on Elamur Research (2023–2024), h-index 11 — affiliations, topics, co-authors…" canonical: "https://research.elamur.ai/free/en/authors/suyu-ge/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/suyu-ge/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Suyu Ge # Suyu Ge Suyu Ge has 2 papers in our library, in 2023–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Jiawei Han](https://md.research.elamur.ai/free/en/authors/jiawei-han/), [Chunting Zhou](https://md.research.elamur.ai/free/en/authors/chunting-zhou/), [Jianfeng Gao](https://md.research.elamur.ai/free/en/authors/jianfeng-gao/). 2 papers in our library · 2023–2024 [OpenAlex](https://openalex.org/A5050943163) · [ORCID](https://orcid.org/0000-0003-4802-6392) · [**h-index 11**](https://openalex.org/authors/A5050943163) · [25 works](https://openalex.org/works?filter=author.id:A5050943163) · [746 citations](https://openalex.org/works?filter=author.id:A5050943163&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/suyu-ge/#papers) · [🔗 Cited 242 times in our library](https://md.research.elamur.ai/free/en/authors/suyu-ge/cited-by/) · [⭐ Paper Stars ranking: #4306](https://md.research.elamur.ai/free/en/paper-stars/page/44/#star-4306) 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=Suyu+Ge) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Suyu+Ge) · [dblp](https://dblp.org/search?q=Suyu+Ge) · [ACL Anthology](https://aclanthology.org/search/?q=Suyu+Ge) ## Affiliations [🎓**University of Illinois Urbana-Champaign** Urbana · United States 2022–2026 · 8 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-illinois-urbana-champaign/) · [🎓**Tsinghua University** Beijing · China 2019–2021 · 10 papers](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed. ## Concepts, shelves and topics Of its works in our library: the number of works on each and its rating among them. 📚 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/) · [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 3 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) ## Works by year ### 2020s [**2024** 1 paper MART: Improving LLM Safety with Multi-round Automatic Red-Teaming](https://md.research.elamur.ai/free/en/papers/ge-2024-mart-improving-llm-safety-multi/) · [**2023** 1 paper Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs](https://md.research.elamur.ai/free/en/papers/ge-2023-model-tells-discard-adaptive-kv/) ## Papers The most cited first (OpenAlex and our library). 1. **[Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs](https://md.research.elamur.ai/free/en/papers/ge-2023-model-tells-discard-adaptive-kv/)** *(2023 · 198 citations)* Large language models cache the key and value vectors of every previous token during generation. This KV cache grows with model size and output length and often exceeds GPU memory. Offloading it to CPU or NVMe slows inference, and most token-pruning methods require retraining. The authors propose FastGen, a… 2. **[MART: Improving LLM Safety with Multi-round Automatic Red-Teaming](https://md.research.elamur.ai/free/en/papers/ge-2024-mart-improving-llm-safety-multi/)** *(2024 · 79 citations)* Making LLMs safe usually depends on human red-teaming, where many annotators spend months writing attack prompts and safe answers. ## Co-authors here 10 co-authors with a page, the most papers together first. - [Jiawei Han](https://md.research.elamur.ai/free/en/authors/jiawei-han/) ×2 - [Chunting Zhou](https://md.research.elamur.ai/free/en/authors/chunting-zhou/) - [Jianfeng Gao](https://md.research.elamur.ai/free/en/authors/jianfeng-gao/) - [Liyuan Liu](https://md.research.elamur.ai/free/en/authors/liyuan-liu/) - [Madian Khabsa](https://md.research.elamur.ai/free/en/authors/madian-khabsa/) - [Minjia Zhang](https://md.research.elamur.ai/free/en/authors/minjia-zhang/) - [Qifan Wang](https://md.research.elamur.ai/free/en/authors/qifan-wang/) - [Rui Hou](https://md.research.elamur.ai/free/en/authors/rui-hou/) - [Yi-Chia Wang](https://md.research.elamur.ai/free/en/authors/yi-chia-wang/) - [Yuning Mao](https://md.research.elamur.ai/free/en/authors/yuning-mao/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/): [NAACL 2024](https://md.research.elamur.ai/free/en/venues/naacl/2024/) ## Cited by Papers of our library cite their works 242 times (of the 141,840 papers whose bibliographies we read); [17 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/suyu-ge/cited-by/). Updated 24 October 2026