--- title: "Quanquan Gu — author profile and papers — Elamur Research" description: "Quanquan Gu, University of California, Los Angeles: 2 papers on Elamur Research (2023–2026), h-index 51 — affiliations, topics, co-authors…" canonical: "https://research.elamur.ai/free/en/authors/quanquan-gu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/quanquan-gu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Quanquan Gu # Quanquan Gu Quanquan Gu has 2 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Yifan Zhang](https://md.research.elamur.ai/free/en/authors/yifan-zhang/), [Yifeng Liu](https://md.research.elamur.ai/free/en/authors/yifeng-liu/), [Yihe Deng](https://md.research.elamur.ai/free/en/authors/yihe-deng/). 2 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5051448391) · [ORCID](https://orcid.org/0000-0001-9830-793X) · [Wikidata](https://www.wikidata.org/wiki/Q131009136) · [**h-index 51**](https://openalex.org/authors/A5051448391) · [335 works](https://openalex.org/works?filter=author.id:A5051448391) · [9,876 citations](https://openalex.org/works?filter=author.id:A5051448391&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/quanquan-gu/#papers) · [🔗 Cited 91 times in our library](https://md.research.elamur.ai/free/en/authors/quanquan-gu/cited-by/) · [7 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #9215](https://md.research.elamur.ai/free/en/paper-stars/page/93/#star-9215) 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=Quanquan+Gu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Quanquan+Gu) · [dblp](https://dblp.org/search?q=Quanquan+Gu) · [ACL Anthology](https://aclanthology.org/search/?q=Quanquan+Gu) ## Affiliations [🎓**University of California, Los Angeles** Los Angeles · United States 2018–2026 · 177 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-california-los-angeles/) · [🎓**University of Virginia** Charlottesville · United States 2015–2019 · 40 papers](https://md.research.elamur.ai/free/en/universities/university-of-virginia/) · [🎓**University of Illinois Urbana-Champaign** Urbana · United States 2011–2015 · 28 papers](https://md.research.elamur.ai/free/en/universities/university-of-illinois-urbana-champaign/) · [🎓**Tsinghua University** Beijing · China 2008–2010 · 18 papers](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🔬**State Key Laboratory of Intelligent Technology and Systems** Beijing · China 2009–2010 · 8 papers](https://md.research.elamur.ai/free/en/labs/state-key-laboratory-of-intelligent-technology-and-systems/) · [🏢**ByteDance** Beijing · China 2023–2025 · 7 papers](https://md.research.elamur.ai/free/en/companies/bytedance/) · [🎓**Princeton University** Princeton · United States 2014–2023 · 4 papers](https://md.research.elamur.ai/free/en/universities/princeton-university/) · [🎓**University of Maryland, College Park** College Park · United States 2024–2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-maryland-college-park/) · [🎓**Emory University** Atlanta · United States 2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/emory-university/) · [🎓**Toyota Technological Institute at Chicago** Chicago · United States 2019–2021 · 2 papers](https://md.research.elamur.ai/free/en/universities/toyota-technological-institute-at-chicago/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 14 more institutions 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).[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 2 Research subjects and languages the work is about.[Language models & pretraining · 1 work](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/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/quanquan-gu/year/2026/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/quanquan-gu/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves](https://md.research.elamur.ai/free/en/papers/deng-2023-rephrase-respond-let-large-language/)** *(2023 · 62 citations)* LLMs sometimes misread questions that look perfectly clear to people. The authors attribute this to a mismatch between how humans and models frame a query. For example, GPT-4 may interpret "even month" to mean any month whose number of days is even. To address this, they propose Rephrase and Respond (RaR), a… 2. **[Self-Distilled Policy Gradient](https://md.research.elamur.ai/free/en/papers/liu-2026-self-distilled-policy-gradient/)** *(2026 · 5 citations)* RLVR methods such as GRPO give a language model a single correctness score per sequence, so individual reasoning steps receive no specific credit. ## All works 9 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. **[Multiple models for outbreak decision support in the face of uncertainty ↗](https://doi.org/10.1073/pnas.2207537120) Proceedings of the National Academy of Sciences · no summary yet**Katriona Shea et al.*2023 · 75 citations* 2. [**Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves arXiv:2311.04205**Yihe Deng, Weitong Zhang, Zixiang Chen, et al.*2023 · 62 citations*](https://md.research.elamur.ai/free/en/papers/deng-2023-rephrase-respond-let-large-language/) 3. **[Towards Understanding the Mixture-Of-Experts Layer in Deep Learning ↗](https://doi.org/10.52202/068431-1675) neural information processing systems · no summary yet**Zixiang Chen et al.*2022 · 49 citations* 4. **[Towards Understanding Mixture of Experts in Deep Learning ↗](https://arxiv.org/abs/2208.02813) arXiv (Cornell University) · no summary yet**Zixiang Chen et al.*2022 · 37 citations* 5. **[Understanding the Generalization of Adam in Learning Neural Networks with Proper Regularization ↗](https://arxiv.org/abs/2108.11371) arXiv (Cornell University) · no summary yet**Difan Zou et al.*2021 · 13 citations* 6. [**Self-Distilled Policy Gradient arXiv:2606.04036**Yifeng Liu, Shiyuan Zhang, Yifan Zhang, et al.*2026 · 5 citations*](https://md.research.elamur.ai/free/en/papers/liu-2026-self-distilled-policy-gradient/) 7. **[The Benefits of Mixup for Feature Learning ↗](https://arxiv.org/abs/2303.08433) arXiv (Cornell University) · no summary yet**Difan Zou et al.*2023 · 3 citations* 8. **[The Implicit Bias of Batch Normalization in Linear Models and Two-layer Linear Convolutional Neural Networks ↗](https://arxiv.org/abs/2306.11680) arXiv (Cornell University) · no summary yet**Yuan Cao et al.*2023* 9. **[Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP ↗](https://arxiv.org/abs/2310.00927) arXiv (Cornell University) · no summary yet**Zixiang Chen et al.*2023* ## Co-authors here 3 co-authors with a page, the most papers together first. - [Yifan Zhang](https://md.research.elamur.ai/free/en/authors/yifan-zhang/) - [Yifeng Liu](https://md.research.elamur.ai/free/en/authors/yifeng-liu/) - [Yihe Deng](https://md.research.elamur.ai/free/en/authors/yihe-deng/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - Proceedings of the National Academy of Sciences - neural information processing systems ## Cited by Papers of our library cite their works 91 times (of the 149,439 papers whose bibliographies we read); [14 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/quanquan-gu/cited-by/). Updated 3 November 2026