--- title: "Wangchunshu Zhou — author profile and papers" description: "Wangchunshu Zhou, ByteDance: 3 papers on Elamur Research (2020–2024), h-index 19 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/wangchunshu-zhou/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/wangchunshu-zhou/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Wangchunshu Zhou # Wangchunshu Zhou Wangchunshu Zhou has 3 papers in our library, in 2020–2024, 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 [Canwen Xu](https://md.research.elamur.ai/free/en/authors/canwen-xu/), [Furu Wei](https://md.research.elamur.ai/free/en/authors/furu-wei/), [Fuzhao Xue](https://md.research.elamur.ai/free/en/authors/fuzhao-xue/). 3 papers in our library · 2020–2024 [OpenAlex](https://openalex.org/A5074508950) · [ORCID](https://orcid.org/0000-0003-4668-3348) · [**h-index 19**](https://openalex.org/authors/A5074508950) · [127 works](https://openalex.org/works?filter=author.id:A5074508950) · [1,505 citations](https://openalex.org/works?filter=author.id:A5074508950&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/wangchunshu-zhou/#papers) · [🔗 683 citations in our library](https://md.research.elamur.ai/free/en/authors/wangchunshu-zhou/cited-by/) · [12 more in our library without a page yet](#also) · [⭐ Paper Star rank #3404](https://md.research.elamur.ai/free/en/paper-stars/page/35/#star-3404) 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=Wangchunshu+Zhou) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Wangchunshu+Zhou) · [dblp](https://dblp.org/search?q=Wangchunshu+Zhou) · [ACL Anthology](https://aclanthology.org/search/?q=Wangchunshu+Zhou) ## Affiliations [🏢**ByteDance** Beijing · China 2021–2026 · 8 papers*current*](https://md.research.elamur.ai/free/en/companies/bytedance/) · [🎓**Zhejiang University** Hangzhou · China 2023–2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) · [🎓**ETH Zurich** Zurich · Switzerland 2022–2025 · 24 papers](https://md.research.elamur.ai/free/en/universities/eth-zurich/) · [🎓**Beihang University** Beijing · China 2019–2023 · 17 papers](https://md.research.elamur.ai/free/en/universities/beihang-university/) · [🎓**Stanford University** Stanford · United States 2021–2022 · 6 papers](https://md.research.elamur.ai/free/en/universities/stanford-university/) · [🎓**Yale University** New Haven · United States 2023–2025 · 5 papers](https://md.research.elamur.ai/free/en/universities/yale-university/) · [🏢**Ant Group** Hangzhou · China 2024 · 2 papers](https://md.research.elamur.ai/free/en/companies/ant-group/) · [🎓**New York University** New York · United States 2023–2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/new-york-university/) · [🎓**Shanghai Jiao Tong University** Shanghai · China 2022–2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 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[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 2[Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2024** 1 paper](https://md.research.elamur.ai/free/en/papers/xue-2024-openmoe-early-effort-open-mixture/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/papers/wang-2023-rolellm-benchmarking-eliciting-enhancing-role/) · [**2020** 1 paper](https://md.research.elamur.ai/free/en/papers/xu-2020-bert-theseus-compressing-bert-progressive/) ## Papers The most cited first (OpenAlex and our library). 1. **[BERT-of-Theseus: Compressing BERT by Progressive Module Replacing](https://md.research.elamur.ai/free/en/papers/xu-2020-bert-theseus-compressing-bert-progressive/)** *(2020 · 239 citations)* Large pretrained Transformers such as BERT are expensive to deploy because they use a lot of memory and run slowly. 2. **[RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2023-rolellm-benchmarking-eliciting-enhancing-role/)** *(2023 · 186 citations)* Open-source LLMs are trained for general use and are weak at imitating specific fictional characters. Strong closed models such as GPT-4 can do this, but they are costly, cannot be fine-tuned, and need all character details placed in the prompt. RoleLLM addresses this with a four-stage pipeline. First, the authors… 3. **[OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models](https://md.research.elamur.ai/free/en/papers/xue-2024-openmoe-early-effort-open-mixture/)** *(2024 · 61 citations)* Before this work, few open Mixture-of-Experts (MoE) language models had been trained on trillion-scale, diverse data, and little was known about how their routers actually behave. ## All works 15 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them. 1. **[BERT-of-Theseus: Compressing BERT by Progressive Module Replacing](https://md.research.elamur.ai/free/en/papers/xu-2020-bert-theseus-compressing-bert-progressive/)**Canwen Xu, Wangchunshu Zhou, Tao Ge, et al.*[Conference on Empirical Methods in Natural…](https://md.research.elamur.ai/free/en/venues/emnlp/) · 239 citations* 2. [**RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models**Zekun Moore Wang, Zhongyuan Peng, Haoran Que, et al.*arXiv:2310.00746 · 186 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-rolellm-benchmarking-eliciting-enhancing-role/) 3. **[SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines](https://arxiv.org/abs/2502.14739) (original ↗)**M-A-P Team et al.*2025 · arXiv:2502.14739 · 84 citations · no summary yet* 4. **[Improving Grammatical Error Correction with Machine Translation Pairs](https://aclanthology.org/2020.findings-emnlp.30/) (original ↗)**Wangchunshu Zhou et al.*2020 · Findings of the Association for Computational… · 63 citations · no summary yet* 5. [**OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models**Fuzhao Xue, Zian Zheng, Yao Fu, et al.*arXiv:2402.01739 · 61 citations*](https://md.research.elamur.ai/free/en/papers/xue-2024-openmoe-early-effort-open-mixture/) 6. **[RecurrentGPT: Interactive Generation of (Arbitrarily) Long Text](https://arxiv.org/abs/2305.13304) (original ↗)**Wangchunshu Zhou et al.*2023 · arXiv:2305.13304 · 57 citations · no summary yet* 7. **[MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series](https://arxiv.org/abs/2405.19327) (original ↗)**Ge Zhang et al.*2024 · arXiv:2405.19327 · 42 citations · no summary yet* 8. **[Symbolic Learning Enables Self-Evolving Agents](https://arxiv.org/abs/2406.18532) (original ↗)**Wangchunshu Zhou et al.*2024 · arXiv:2406.18532 · 32 citations · no summary yet* 9. **[ML-Bench: Evaluating Large Language Models and Agents for Machine Learning Tasks on Repository-Level Code](https://arxiv.org/abs/2311.09835) (original ↗)**Xiangru Tang et al.*2023 · arXiv:2311.09835 · 32 citations · no summary yet* 10. **[Weaver: Foundation Models for Creative Writing](https://arxiv.org/abs/2401.17268) (original ↗)**Tiannan Wang; Jiamin Chen; Qingrui Jia; Shuai Wang; Ruoyu Fang; Huilin Wang; Zhaowei Gao; Chunzhao Xie; Chuou Xu; Jihong Dai; Yibin Liu; Jialong Wu; Shengwei Ding; Long Li; Zhiwei Huang; Xinle Deng; Teng Yu; Gangan Ma; Han Xiao; Zixin Chen; Danjun Xiang; Yunxia Wang; Yuanyuan Zhu; Yi Xiao; Jing Wang; Yiru Wang; Siran Ding; Jiayang Huang; Jiayi Xu; Yilihamu Tayier; Zhenyu Hu; Yuan Gao; Chengfeng Zheng; Yueshu Ye; Yihang Li; Lei Wan; Xinyue Jiang; Yujie Wang; Siyu Cheng; Zhule Song; Xiangru Tang; Xiaohua Xu; Ningyu Zhang; Huajun Chen; Yuchen Eleanor Jiang;, Wangchunshu Zhou*2024 · arXiv:2401.17268 · 31 citations · no summary yet* 11. **[OS Agents: A Survey on MLLM-based Agents for Computer, Phone and Browser Use](https://aclanthology.org/2025.acl-long.369/) (original ↗)**Xueyu Hu et al.*2025 · Proceedings of the 63rd Annual Meeting of the… · 17 citations · no summary yet* 12. **[ChemAgent: Self-updating Library in Large Language Models Improves Chemical Reasoning](https://arxiv.org/abs/2501.06590) (original ↗)**Xiangru Tang et al.*2025 · arXiv:2501.06590 · 15 citations · no summary yet* 13. **[A Survey on Latent Reasoning](https://arxiv.org/abs/2507.06203) (original ↗)**Rui-Jie Zhu et al.*2025 · arXiv:2507.06203 · 15 citations · no summary yet* 14. **[Poor Man's Quality Estimation: Predicting Reference-Based MT Metrics Without the Reference](https://aclanthology.org/2023.eacl-main.95/) (original ↗)**Vilém Zouhar et al.*2023 · Proceedings of the 17th Conference of the… · 15 citations · no summary yet* 15. **[COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human Values](https://aclanthology.org/2026.findings-eacl.288/) (original ↗)**Siwei Wu et al.*2026 · Findings of the Association for Computational… · no summary yet* ## Co-authors here 11 co-authors with a page, the most papers together first. - [Canwen Xu](https://md.research.elamur.ai/free/en/authors/canwen-xu/) - [Furu Wei](https://md.research.elamur.ai/free/en/authors/furu-wei/) - [Fuzhao Xue](https://md.research.elamur.ai/free/en/authors/fuzhao-xue/) - [Haoran Que](https://md.research.elamur.ai/free/en/authors/haoran-que/) - [Jiaheng Liu](https://md.research.elamur.ai/free/en/authors/jiaheng-liu/) - [Jian Yang](https://md.research.elamur.ai/free/en/authors/jian-yang/) - [Ming Zhou](https://md.research.elamur.ai/free/en/authors/ming-zhou/) - [Tao Ge](https://md.research.elamur.ai/free/en/authors/tao-ge/) - [Yang You](https://md.research.elamur.ai/free/en/authors/yang-you/) - [Yao Fu](https://md.research.elamur.ai/free/en/authors/yao-fu/) - [Zekun Moore Wang](https://md.research.elamur.ai/free/en/authors/zekun-moore-wang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Empirical Methods in Natural Language…](https://md.research.elamur.ai/free/en/venues/emnlp/): [2020](https://md.research.elamur.ai/free/en/venues/emnlp/2020/) - Findings of the Association for Computational Linguistics… - Findings of the Association for Computational Linguistics… - Proceedings of the 17th Conference of the European Chapter… - Proceedings of the 63rd Annual Meeting of the Association… ## Cited by Papers of our library cite their works 683 times (of the 141,840 papers whose bibliographies we read); [36 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/wangchunshu-zhou/cited-by/). Updated 24 October 2026