--- title: "Xu Chen — author profile and papers — Elamur Research" description: "Xu Chen, Renmin University of China: 6 papers on Elamur Research (2023–2026), h-index 28 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/xu-chen/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xu-chen/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xu Chen # Xu Chen Xu Chen has 6 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Chen Ma](https://md.research.elamur.ai/free/en/authors/chen-ma/), [Zeyu Zhang](https://md.research.elamur.ai/free/en/authors/zeyu-zhang/), [Cong Liu](https://md.research.elamur.ai/free/en/authors/cong-liu/). 6 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5101755392) · [ORCID](https://orcid.org/0000-0003-0144-1775) · [Wikidata](https://www.wikidata.org/wiki/Q130799509) · [**h-index 28**](https://openalex.org/authors/A5101755392) · [172 works](https://openalex.org/works?filter=author.id:A5101755392) · [3,809 citations](https://openalex.org/works?filter=author.id:A5101755392&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 6 works in our library](https://md.research.elamur.ai/free/en/authors/xu-chen/#papers) · [🔗 Cited 674 times in our library](https://md.research.elamur.ai/free/en/authors/xu-chen/cited-by/) · [5 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #1342](https://md.research.elamur.ai/free/en/paper-stars/page/14/#star-1342) 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=Xu+Chen) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xu+Chen) · [dblp](https://dblp.org/search?q=Xu+Chen) · [ACL Anthology](https://aclanthology.org/search/?q=Xu+Chen) ## Affiliations [🎓**Renmin University of China** Beijing · China 2020–2026 · 176 papersEmployment*current*](https://md.research.elamur.ai/free/en/universities/renmin-university-of-china/) · [🎓**Tsinghua University** Beijing · China 2015–2021 · 27 papers](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🎓**University College London** London · United Kingdom 2020–2021 · 7 papers](https://md.research.elamur.ai/free/en/universities/university-college-london/) · [🏢**Meta** Menlo Park · United States 2021 · 2 papers](https://md.research.elamur.ai/free/en/companies/meta/) 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. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 8 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 6 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 6 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 6 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 6 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/) · [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/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) 💡 Concepts 2 Key ideas and methods explained on our concept pages.[Language model · 1 work](https://md.research.elamur.ai/free/en/concepts/language-model/) · [Large language models · 1 work](https://md.research.elamur.ai/free/en/concepts/large-language-models/) ## Works by year ### 2020s [**2026** 4 papers](https://md.research.elamur.ai/free/en/authors/xu-chen/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/xu-chen/year/2025/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/xu-chen/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[A Survey on Large Language Model based Autonomous Agents](https://md.research.elamur.ai/free/en/papers/wang-2023-survey-large-language-model-based/)** *(2023 · 2,284 citations)* The survey maps the fast-growing research on autonomous agents that use a large language model as their central controller. 2. **[Cool-Fusion: Fuse Large Language Models without Training](https://md.research.elamur.ai/free/en/papers/liu-2025-cool-fusion-fuse-large-language/)** *(2025 · 8 citations)* Cool-Fusion addresses how to combine several heterogeneous LLMs so they benefit from each other's strengths. 3. **[LLM Prompt Duel Optimizer: Efficient Label-Free Prompt Optimization](https://md.research.elamur.ai/free/en/papers/wu-2026-llm-prompt-duel-optimizer-efficient/)** *(2026 · 2 citations)* Automatic prompt optimization usually scores candidate instructions against labeled validation data. Such data is often missing early in a deployment. The authors, from Penn State and Meta, propose the Prompt Duel Optimizer (PDO), which needs no labels. An LLM judge sees the outputs of two prompts on the same… 4. **[RepoGenesis: Benchmarking End-to-End Microservice Generation from Readme to Repository](https://md.research.elamur.ai/free/en/papers/peng-2026-repogenesis-benchmarking-end-end-microservice/)** *(2026 · 1 citation)* Most code-generation benchmarks test single functions or classes, or ask models to edit existing codebases. 5. **[From Coarse to Fine: Self-Adaptive Hierarchical Planning for LLM Agents](https://md.research.elamur.ai/free/en/papers/tan-2026-coarse-fine-self-adaptive-hierarchical/)** *(2026)* LLM agents that plan explicitly usually produce plans at a single, fixed level of detail. Such plans are too verbose for easy tasks and too shallow for hard ones. The authors propose AdaPlan-H, a planner inspired by the cognitive-science idea of progressive refinement. It first drafts a coarse global plan and then… 6. **[Learning from Cognition: Enhancing RL Efficiency for LLM Reasoning via Hierarchical Metacognitive Decomposition and Refinement](https://md.research.elamur.ai/free/en/papers/sun-2026-learning-cognition-enhancing-rl-efficiency/)** *(2026)* Zero-RL training with verifiable rewards wastes much of its compute on weaker base LLMs. With a fixed prompt template, many problems yield no correct rollout, so accuracy-based filtering discards them. Cog-Rethinker tackles this by adding two cognition-inspired rollout stages on top of a DAPO-style pipeline. Problems… ## All works 11 works of theirs in our library, the most cited first; 6 with a page here, the others link their original until we summarise them. 1. **[A Survey on Large Language Model based Autonomous Agents](https://md.research.elamur.ai/free/en/papers/wang-2023-survey-large-language-model-based/) [Frontiers of Computer Science](https://md.research.elamur.ai/free/en/venues/frontiers-of-computer-science/)**Lei Wang, Chen Ma, Xueyang Feng, et al.*2023 · 2,284 citations* 2. **[Counterfactual Data-Augmented Sequential Recommendation ↗](https://doi.org/10.1145/3404835.3462855) International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yet**Zhenlei Wang et al.*2021 · 129 citations* 3. **[Bridge Text and Knowledge by Learning Multi-Prototype Entity Mention Embedding ↗](https://aclanthology.org/P17-1149/) Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Yixin Cao et al.*2017 · 124 citations* 4. **[Don't Make Your LLM an Evaluation Benchmark Cheater ↗](https://arxiv.org/abs/2311.01964) arXiv:2311.01964 · no summary yet**Kun Zhou et al.*2023 · 112 citations* 5. **[Time Matters ↗](https://doi.org/10.1145/3397271.3401154) International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yet**Wenwen Ye et al.*2020 · 88 citations* 6. **[User Behavior Simulation with Large Language Model based Agents ↗](https://arxiv.org/abs/2306.02552) arXiv:2306.02552 · no summary yet**Lei Wang et al.*2023 · 64 citations* 7. **[Cool-Fusion: Fuse Large Language Models without Training](https://md.research.elamur.ai/free/en/papers/liu-2025-cool-fusion-fuse-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Cong Liu, Xiaojun Quan, Yan Pan, et al.*2025 · 8 citations* 8. **[LLM Prompt Duel Optimizer: Efficient Label-Free Prompt Optimization](https://md.research.elamur.ai/free/en/papers/wu-2026-llm-prompt-duel-optimizer-efficient/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuanchen Wu, Saurabh Verma, Justin Lee, et al.*2026 · 2 citations* 9. **[RepoGenesis: Benchmarking End-to-End Microservice Generation from Readme to Repository](https://md.research.elamur.ai/free/en/papers/peng-2026-repogenesis-benchmarking-end-end-microservice/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhiyuan Peng, Xin Yin, Pu Zhao, et al.*2026 · 1 citation* 10. **[From Coarse to Fine: Self-Adaptive Hierarchical Planning for LLM Agents](https://md.research.elamur.ai/free/en/papers/tan-2026-coarse-fine-self-adaptive-hierarchical/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haoran Tan, Zeyu Zhang, Chen Ma, et al.*2026* 11. **[Learning from Cognition: Enhancing RL Efficiency for LLM Reasoning via Hierarchical Metacognitive Decomposition and Refinement](https://md.research.elamur.ai/free/en/papers/sun-2026-learning-cognition-enhancing-rl-efficiency/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zexu Sun, Yongcheng Zeng, Erxue Min, et al.*2026* ## Co-authors here 12 of 19 co-authors with a page, the most papers together first. - [Chen Ma](https://md.research.elamur.ai/free/en/authors/chen-ma/) ×2 - [Zeyu Zhang](https://md.research.elamur.ai/free/en/authors/zeyu-zhang/) ×2 - [Cong Liu](https://md.research.elamur.ai/free/en/authors/cong-liu/) - [Dongmei Zhang](https://md.research.elamur.ai/free/en/authors/dongmei-zhang/) - [Dugang Liu](https://md.research.elamur.ai/free/en/authors/dugang-liu/) - [Erxue Min](https://md.research.elamur.ai/free/en/authors/erxue-min/) - [Fangkai Yang](https://md.research.elamur.ai/free/en/authors/fangkai-yang/) - [Hao Yang](https://md.research.elamur.ai/free/en/authors/hao-yang/) - [Justin Lee](https://md.research.elamur.ai/free/en/authors/justin-lee/) - [Lei Wang](https://md.research.elamur.ai/free/en/authors/lei-wang/) - [Liang Lin](https://md.research.elamur.ai/free/en/authors/liang-lin/) - [Lu Wang](https://md.research.elamur.ai/free/en/authors/lu-wang/) ## 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/) ×5: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2, [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) - [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 ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) ×2 - [Frontiers of Computer Science](https://md.research.elamur.ai/free/en/venues/frontiers-of-computer-science/): [Frontiers of Computer Science 2023](https://md.research.elamur.ai/free/en/venues/frontiers-of-computer-science/2023/) ## Cited by Papers of our library cite their works 674 times (of the 149,439 papers whose bibliographies we read); [145 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xu-chen/cited-by/). Updated 1 November 2026