--- title: "Zhong-Zhi Li — author profile and papers — Elamur Research" description: "Zhong-Zhi Li, University of Chinese Academy of Sciences: 4 papers on Elamur Research (2025–2026), h-index 18 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/zhong-zhi-li/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/zhong-zhi-li/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Zhong-Zhi Li # Zhong-Zhi Li Zhong-Zhi Li has 4 papers in our library, in 2025–2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [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/); often with [Haotian Xu](https://md.research.elamur.ai/free/en/authors/haotian-xu/), [Peijie Wang](https://md.research.elamur.ai/free/en/authors/peijie-wang/), [Bo Zheng](https://md.research.elamur.ai/free/en/authors/bo-zheng/). 4 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5019199790) · [ORCID](https://orcid.org/0000-0002-6637-7033) · [**h-index 18**](https://openalex.org/authors/A5019199790) · [111 works](https://openalex.org/works?filter=author.id:A5019199790) · [1,068 citations](https://openalex.org/works?filter=author.id:A5019199790&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/zhong-zhi-li/#papers) · [🔗 Cited 214 times in our library](https://md.research.elamur.ai/free/en/authors/zhong-zhi-li/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6363](https://md.research.elamur.ai/free/en/paper-stars/page/64/#star-6363) 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=Zhong-Zhi+Li) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zhong-Zhi+Li) · [dblp](https://dblp.org/search?q=Zhong-Zhi+Li) · [ACL Anthology](https://aclanthology.org/search/?q=Zhong-Zhi+Li) ## Affiliations [🎓**University of Chinese Academy of Sciences** Beijing · China 2024–2026 · 6 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🎓**Shenyang Aerospace University** Shenyang · China 2019–2022 · 21 papers](https://ror.org/02423gm04) · [🏥**Beijing Children’s Hospital** Beijing · China 2008–2018 · 13 papers](https://ror.org/04skmn292) · [🎓**Capital Medical University** Beijing · China 2008–2018 · 12 papers](https://md.research.elamur.ai/free/en/universities/capital-medical-university/) · [🎓**Chengdu University of Information Technology** Chengdu · China 2008–2024 · 11 papers](https://ror.org/01yxwrh59) · [🏛️**Chinese Academy of Sciences** Beijing · China 2024–2025 · 10 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Automation** Beijing · China 2024–2025 · 9 papers](https://md.research.elamur.ai/free/en/labs/institute-of-automation/) · [🎓**Fudan University** Shanghai · China 2022–2025 · 8 papers](https://md.research.elamur.ai/free/en/universities/fudan-university/) · [🎓**University of Electronic Science and Technology of China** Chengdu · China 2008–2011 · 7 papers](https://md.research.elamur.ai/free/en/universities/university-of-electronic-science-and-technology-of-china/) · [🎓**Shandong University** Jinan · China 2024 · 4 papers](https://md.research.elamur.ai/free/en/universities/shandong-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 9 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 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 5 Research subjects and languages the work is about.[Reasoning · 4 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) · [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/zhong-zhi-li/year/2026/) · [**2025** 3 papers](https://md.research.elamur.ai/free/en/authors/zhong-zhi-li/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[From System 1 to System 2: A Survey of Reasoning Large Language Models](https://md.research.elamur.ai/free/en/papers/li-2025-system-1-system-2-survey/)** *(2025 · 165 citations)* Conventional LLMs respond quickly and intuitively, much like the fast "System 1" of dual-process cognitive theory, but they often fail on problems that require careful multi-step analysis. 2. **[LongDocURL: a Comprehensive Multimodal Long Document Benchmark Integrating Understanding, Reasoning, and Locating](https://md.research.elamur.ai/free/en/papers/deng-2025-longdocurl-comprehensive-multimodal-long-document/)** *(2025 · 30 citations)* Evaluation of document understanding has not kept pace with large vision-language models (LVLMs). Standard datasets such as DocVQA cover only single pages and are close to saturated. Multi-page sets like MP-DocVQA and DUDE stay under 20 pages and rarely test how models connect different layout elements. 3. **[TL;DR: Too Long, Do Re-weighting for Efficient LLM Reasoning Compression](https://md.research.elamur.ai/free/en/papers/li-2025-tl-dr-too-long-re/)** *(2025 · 8 citations)* Reasoning-focused LLMs that generate long Chain-of-Thought (CoT) often overthink, spending many tokens even on easy questions. Existing compression approaches usually need laborious data labeling, model interpolation (as in CoT-Valve), or costly RL with length penalties. 4. **[Scaling Behaviors of LLM Reinforcement Learning Post-Training: An Empirical Study in Mathematical Reasoning](https://md.research.elamur.ai/free/en/papers/tan-2026-scaling-behaviors-llm-reinforcement-learning/)** *(2026 · 6 citations)* Scaling laws are well established for LLM pre-training, but little is known about how they behave when reinforcement learning is applied after pre-training. ## All works 5 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them. 1. [**From System 1 to System 2: A Survey of Reasoning Large Language Models arXiv:2502.17419**Zhong-Zhi Li, Duzhen Zhang, Ming-Liang Zhang, et al.*2025 · 165 citations*](https://md.research.elamur.ai/free/en/papers/li-2025-system-1-system-2-survey/) 2. **[RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? ↗](https://arxiv.org/abs/2501.11284) arXiv:2501.11284 · no summary yet**Haotian Xu et al.*2025 · 37 citations* 3. **[LongDocURL: a Comprehensive Multimodal Long Document Benchmark Integrating Understanding, Reasoning, and Locating](https://md.research.elamur.ai/free/en/papers/deng-2025-longdocurl-comprehensive-multimodal-long-document/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chao Deng, Jiale Yuan, Pi Bu, et al.*2025 · 30 citations* 4. [**TL;DR: Too Long, Do Re-weighting for Efficient LLM Reasoning Compression arXiv:2506.02678**Zhong-Zhi Li, Xiao Liang, Zihao Tang, et al.*2025 · 8 citations*](https://md.research.elamur.ai/free/en/papers/li-2025-tl-dr-too-long-re/) 5. **[Scaling Behaviors of LLM Reinforcement Learning Post-Training: An Empirical Study in Mathematical Reasoning](https://md.research.elamur.ai/free/en/papers/tan-2026-scaling-behaviors-llm-reinforcement-learning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zelin Tan, Hejia Geng, Xiaohang Yu, et al.*2026 · 6 citations* ## Co-authors here 12 of 25 co-authors with a page, the most papers together first. - [Haotian Xu](https://md.research.elamur.ai/free/en/authors/haotian-xu/) ×2 - [Peijie Wang](https://md.research.elamur.ai/free/en/authors/peijie-wang/) ×2 - [Bo Zheng](https://md.research.elamur.ai/free/en/authors/bo-zheng/) - [Chao Deng](https://md.research.elamur.ai/free/en/authors/chao-deng/) - [Cheng-Lin Liu](https://md.research.elamur.ai/free/en/authors/cheng-lin-liu/) - [Duzhen Zhang](https://md.research.elamur.ai/free/en/authors/duzhen-zhang/) - [Fei Yin](https://md.research.elamur.ai/free/en/authors/fei-yin/) - [Guancheng Wan](https://md.research.elamur.ai/free/en/authors/guancheng-wan/) - [Haizhen Huang](https://md.research.elamur.ai/free/en/authors/haizhen-huang/) - [Jian Xu](https://md.research.elamur.ai/free/en/authors/jian-xu/) - [Jiaxin Zhang](https://md.research.elamur.ai/free/en/authors/jiaxin-zhang/) - [Jun Song](https://md.research.elamur.ai/free/en/authors/jun-song/) ## 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/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ## Cited by Papers of our library cite their works 214 times (of the 149,439 papers whose bibliographies we read); [82 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zhong-zhi-li/cited-by/). Updated 2 November 2026