--- title: "Yuqi Ren — author profile and papers — Elamur Research" description: "Yuqi Ren, Beijing Institute of Technology: 5 papers on Elamur Research (2023–2026), h-index 18 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/yuqi-ren/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yuqi-ren/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yuqi Ren # Yuqi Ren Yuqi Ren has 5 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Deyi Xiong](https://md.research.elamur.ai/free/en/authors/deyi-xiong/), [Renren Jin](https://md.research.elamur.ai/free/en/authors/renren-jin/), [Jianxiang Peng](https://md.research.elamur.ai/free/en/authors/jianxiang-peng/). 5 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5109262968) · [ORCID](https://orcid.org/0009-0000-9030-7468) · [**h-index 18**](https://openalex.org/authors/A5109262968) · [71 works](https://openalex.org/works?filter=author.id:A5109262968) · [1,063 citations](https://openalex.org/works?filter=author.id:A5109262968&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/yuqi-ren/#papers) · [🔗 Cited 36 times in our library](https://md.research.elamur.ai/free/en/authors/yuqi-ren/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7906](https://md.research.elamur.ai/free/en/paper-stars/page/80/#star-7906) 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=Yuqi+Ren) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yuqi+Ren) · [dblp](https://dblp.org/search?q=Yuqi+Ren) · [ACL Anthology](https://aclanthology.org/search/?q=Yuqi+Ren) ## Affiliations [🏛️**Chinese Academy of Sciences** Beijing · China 2011–2026 · 16 papers*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🎓**Tianjin University** Tianjin · China 2022–2026 · 15 papersEmployment*current*](https://md.research.elamur.ai/free/en/universities/tianjin-university/) · [🎓**Beijing Institute of Technology** Beijing · China 2024–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/beijing-institute-of-technology/) · [🔬**Institute of Mechanics** Beijing · China 2024–2026 · 3 papers*current*](https://ror.org/057jnjd73) · [🏢**Commercial Aircraft Corporation of China** Shanghai · China 2026 · 1 paper*current*](https://ror.org/05gxmms51) · [🎓**Southeast University** Nanjing · China 2023–2025 · 15 papers](https://md.research.elamur.ai/free/en/universities/southeast-university-cn/) · [🔬**Shanghai Institute of Applied Physics** Pudong · China 2011–2020 · 14 papers](https://ror.org/02w6gr951) · [🔬**Shanghai Synchrotron Radiation Facility** Shanghai 2016–2021 · 4 papers](https://ror.org/02ys41z83) · [🏢**Nanostring Technologies** Seattle · United States 2023–2024 · 3 papers](https://ror.org/00xzdzk88) · [🎓**Beijing Forestry University** Beijing · China 2022 · 2 papers](https://ror.org/04xv2pc41) 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. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 11 The field of science this work belongs to (OpenAlex fields).[Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 4 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/) · [Neuroscience · 2 works](https://md.research.elamur.ai/free/en/shelves/neuroscience/) · [Cognitive Neuroscience · 2 works](https://md.research.elamur.ai/free/en/shelves/neuroscience/cognitive-neuroscience/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Management Science and Operations Research · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/management-science-and-operations-research/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) 🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 5 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks · 2 works](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/yuqi-ren/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/yuqi-ren/year/2025/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/yuqi-ren/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[M3KE: A Massive Multi-Level Multi-Subject Knowledge Evaluation Benchmark for Chinese Large Language Models](https://md.research.elamur.ai/free/en/papers/liu-2023-m3ke-massive-multi-level/)** *(2023 · 34 citations)* Chinese large language models (LLMs) are improving quickly, but there has been no large Chinese benchmark that tests their knowledge the way the Chinese education system does. 2. **[Do Large Language Models Mirror Cognitive Language Processing?](https://md.research.elamur.ai/free/en/papers/ren-2025-do-large-language-models-mirror/)** *(2025 · 11 citations)* This paper asks whether the internal text representations of modern large language models resemble the way the human brain processes language, and which training choices strengthen or weaken that resemblance. 3. **[Beyond Value Benchmarks: Measuring Value-Structure Alignment in Large Language Models via Symmetric Q-Sorts](https://md.research.elamur.ai/free/en/papers/zheng-2026-beyond-value-benchmarks-measuring-value/)** *(2026 · 1 citation)* Most moral evaluations of LLMs score answers one item at a time. They do not show how a model ranks competing values against each other as a whole system. This paper addresses that gap by adapting Q methodology so that humans and models complete the same task. The authors built a 140-item English Q-set based on… 4. **[ExpertIVS: Sociological Expert Driven Individual Value Simulation in Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-expertivs-sociological-expert-driven-individual/)** *(2026)* LLM agents used for social simulation often fail to reproduce how a specific person thinks about values. Typical approaches paste survey answers into prompts as isolated statements, which loses the links between value dimensions. Evaluation usually relies on re-administering multiple-choice questionnaires, which… 5. **[Neuronal Insights into LLM Attacks: Targeted Neuron Tuning for Precise and Robust Vulnerability Patching](https://md.research.elamur.ai/free/en/papers/shi-2026-neuronal-insights-into-llm-attacks/)** *(2026)* Safety-aligned LLMs can still be jailbroken, and it is not well understood which internal components such attacks exploit. ## All works 7 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them. 1. [**M3KE: A Massive Multi-Level Multi-Subject Knowledge Evaluation Benchmark for Chinese Large Language Models arXiv:2305.10263**Chuang Liu, Renren Jin, Yuqi Ren, et al.*2023 · 34 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-m3ke-massive-multi-level/) 2. **[Do Large Language Models Mirror Cognitive Language Processing?](https://md.research.elamur.ai/free/en/papers/ren-2025-do-large-language-models-mirror/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Yuqi Ren, Renren Jin, Tongxuan Zhang, et al.*2025 · 11 citations* 3. **[Beyond Value Benchmarks: Measuring Value-Structure Alignment in Large Language Models via Symmetric Q-Sorts](https://md.research.elamur.ai/free/en/papers/zheng-2026-beyond-value-benchmarks-measuring-value/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jingting Zheng, Yuqi Ren, Linhao Yu, et al.*2026 · 1 citation* 4. **[ExpertIVS: Sociological Expert Driven Individual Value Simulation in Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-expertivs-sociological-expert-driven-individual/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhen Wang, Yuqi Ren, Yuehan Cui, et al.*2026* 5. **[Neuronal Insights into LLM Attacks: Targeted Neuron Tuning for Precise and Robust Vulnerability Patching](https://md.research.elamur.ai/free/en/papers/shi-2026-neuronal-insights-into-llm-attacks/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Dan Shi, Renren Jin, Zhuowen Han, et al.*2026* 6. **[EvoSci: A Bio-Inspired Multi-Agent Framework for the Evolution of Scientific Discovery ↗](https://aclanthology.org/2026.acl-long.447/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Xiaoyu Xiong, Yuqi Ren, Deyi Xiong*2026* 7. **[DVMap: Fine-Grained Pluralistic Value Alignment via High-Consensus Demographic-Value Mapping ↗](https://aclanthology.org/2026.acl-long.909/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Pengyun Zhu et al.*2026* ## Co-authors here 12 of 14 co-authors with a page, the most papers together first. - [Deyi Xiong](https://md.research.elamur.ai/free/en/authors/deyi-xiong/) ×4 - [Renren Jin](https://md.research.elamur.ai/free/en/authors/renren-jin/) ×3 - [Jianxiang Peng](https://md.research.elamur.ai/free/en/authors/jianxiang-peng/) ×2 - [Linhao Yu](https://md.research.elamur.ai/free/en/authors/linhao-yu/) ×2 - [Tongxuan Zhang](https://md.research.elamur.ai/free/en/authors/tongxuan-zhang/) ×2 - [Chuang Liu](https://md.research.elamur.ai/free/en/authors/chuang-liu/) - [Dan Shi](https://md.research.elamur.ai/free/en/authors/dan-shi/) - [Qingqing Lyu](https://md.research.elamur.ai/free/en/authors/qingqing-lyu/) - [Qun Liu](https://md.research.elamur.ai/free/en/authors/qun-liu/) - [Tianyu Dong](https://md.research.elamur.ai/free/en/authors/tianyu-dong/) - [Xinwei Wu](https://md.research.elamur.ai/free/en/authors/xinwei-wu/) - [Yongqi Leng](https://md.research.elamur.ai/free/en/authors/yongqi-leng/) ## 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/) ×4: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2 - [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/): [COLING 2025](https://md.research.elamur.ai/free/en/venues/coling/2025/) ## Cited by Papers of our library cite their works 36 times (of the 149,439 papers whose bibliographies we read); [15 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yuqi-ren/cited-by/). Updated 1 November 2026