--- title: "Haoran Que · Peking University — author profile and papers" description: "Haoran Que, Peking University: 2 papers on Elamur Research (2023–2025), h-index 4 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/haoran-que/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/haoran-que/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Haoran Que # Haoran Que Haoran Que has 2 papers in our library, in 2023–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Jiaheng Liu](https://md.research.elamur.ai/free/en/authors/jiaheng-liu/), [Chenchen Zhang](https://md.research.elamur.ai/free/en/authors/chenchen-zhang/), [Dawei Zhu](https://md.research.elamur.ai/free/en/authors/dawei-zhu/). 2 papers in our library · 2023–2025 [OpenAlex](https://openalex.org/A5092998429) · [**h-index 4**](https://openalex.org/authors/A5092998429) · [20 works](https://openalex.org/works?filter=author.id:A5092998429) · [141 citations](https://openalex.org/works?filter=author.id:A5092998429&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/haoran-que/#papers) · [🔗 Cited 350 times in our library](https://md.research.elamur.ai/free/en/authors/haoran-que/cited-by/) · [4 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4426](https://md.research.elamur.ai/free/en/paper-stars/page/45/#star-4426) 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=Haoran+Que) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Haoran+Que) · [dblp](https://dblp.org/search?q=Haoran+Que) · [ACL Anthology](https://aclanthology.org/search/?q=Haoran+Que) ## Affiliations [🏢**ByteDance** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/bytedance/) · [🎓**Peking University** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🎓**Beihang University** Beijing · China 2023–2025 · 6 papers](https://md.research.elamur.ai/free/en/universities/beihang-university/) · [🏢**Alibaba Group** Hangzhou · China 2024 · 2 papers](https://md.research.elamur.ai/free/en/companies/alibaba-group/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution 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 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2025** 1 paper A Comprehensive Survey on Long Context Language Modeling](https://md.research.elamur.ai/free/en/papers/liu-2025-comprehensive-survey-long-context-language/) · [**2023** 1 paper 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/) ## Papers The most cited first (OpenAlex and our library). 1. **[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… 2. **[A Comprehensive Survey on Long Context Language Modeling](https://md.research.elamur.ai/free/en/papers/liu-2025-comprehensive-survey-long-context-language/)** *(2025 · 64 citations)* Language models that can read very long inputs, such as whole books, extended dialogues or large codebases, are now common. ## All works 6 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. [**RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models arXiv:2310.00746**Zekun Moore Wang, Zhongyuan Peng, Haoran Que, et al.*2023 · 186 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-rolellm-benchmarking-eliciting-enhancing-role/) 2. **[SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines](https://arxiv.org/abs/2502.14739) arXiv:2502.14739 · original ↗ · no summary yet**M-A-P Team et al.*2025 · 84 citations* 3. [**A Comprehensive Survey on Long Context Language Modeling arXiv:2503.17407**Jiaheng Liu, Dawei Zhu, Zhiqi Bai, et al.*2025 · 64 citations*](https://md.research.elamur.ai/free/en/papers/liu-2025-comprehensive-survey-long-context-language/) 4. **[DDK: Distilling Domain Knowledge for Efficient Large Language Models](https://arxiv.org/abs/2407.16154) arXiv:2407.16154 · original ↗ · no summary yet**Jiaheng Liu et al.*2024 · 23 citations* 5. **[Scaling Latent Reasoning via Looped Language Models](https://arxiv.org/abs/2510.25741) arXiv:2510.25741 · original ↗ · no summary yet**Rui-Jie Zhu et al.*2025 · 18 citations* 6. **[COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human Values](https://aclanthology.org/2026.findings-eacl.288/) Findings of the Association for Computational Linguistics: EACL 2026 · original ↗ · no summary yet**Siwei Wu et al.*2026* ## Co-authors here 11 co-authors with a page, the most papers together first. - [Jiaheng Liu](https://md.research.elamur.ai/free/en/authors/jiaheng-liu/) ×2 - [Chenchen Zhang](https://md.research.elamur.ai/free/en/authors/chenchen-zhang/) - [Dawei Zhu](https://md.research.elamur.ai/free/en/authors/dawei-zhu/) - [Ge Zhang](https://md.research.elamur.ai/free/en/authors/ge-zhang/) - [Jian Yang](https://md.research.elamur.ai/free/en/authors/jian-yang/) - [Wangchunshu Zhou](https://md.research.elamur.ai/free/en/authors/wangchunshu-zhou/) - [Yancheng He](https://md.research.elamur.ai/free/en/authors/yancheng-he/) - [Yuanxing Zhang](https://md.research.elamur.ai/free/en/authors/yuanxing-zhang/) - [Zekun Moore Wang](https://md.research.elamur.ai/free/en/authors/zekun-moore-wang/) - [Zekun Wang](https://md.research.elamur.ai/free/en/authors/zekun-wang/) - [Zhuo Chen](https://md.research.elamur.ai/free/en/authors/zhuo-chen/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - Findings of the Association for Computational Linguistics: EACL 2026 ## Cited by Papers of our library cite their works 350 times (of the 141,840 papers whose bibliographies we read); [14 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/haoran-que/cited-by/). Updated 24 October 2026