--- title: "Yicheng Zou — author profile and papers — Elamur Research" description: "Yicheng Zou: 4 papers on Elamur Research (2021–2026), h-index 14 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/yicheng-zou/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yicheng-zou/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yicheng Zou # Yicheng Zou Yicheng Zou has 4 papers in our library, in 2021–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Haijun Lv](https://md.research.elamur.ai/free/en/authors/haijun-lv/), [Yunhua Zhou](https://md.research.elamur.ai/free/en/authors/yunhua-zhou/), [Bowen Zhou](https://md.research.elamur.ai/free/en/authors/bowen-zhou/). 4 papers in our library · 2021–2026 [OpenAlex](https://openalex.org/A5013258788) · [ORCID](https://orcid.org/0009-0002-4575-5063) · [**h-index 14**](https://openalex.org/authors/A5013258788) · [36 works](https://openalex.org/works?filter=author.id:A5013258788) · [1,730 citations](https://openalex.org/works?filter=author.id:A5013258788&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/yicheng-zou/#papers) · [🔗 Cited 819 times in our library](https://md.research.elamur.ai/free/en/authors/yicheng-zou/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6826](https://md.research.elamur.ai/free/en/paper-stars/page/69/#star-6826) 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=Yicheng+Zou) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yicheng+Zou) · [dblp](https://dblp.org/search?q=Yicheng+Zou) · [ACL Anthology](https://aclanthology.org/search/?q=Yicheng+Zou) ## Affiliations [🎓**Fudan University** Shanghai · China 2018–2025 · 17 papers](https://md.research.elamur.ai/free/en/universities/fudan-university/) · [🔬**Shanghai Artificial Intelligence Laboratory** Shanghai · China 2024–2025 · 5 papers](https://md.research.elamur.ai/free/en/labs/shanghai-artificial-intelligence-laboratory/) · [🎓**Southwest University** Chongqing · China 2023–2024 · 4 papers](https://md.research.elamur.ai/free/en/universities/southwest-university/) · [🎓**Harbin Institute of Technology** Harbin · China 2024–2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/harbin-institute-of-technology/) 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 5 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 · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 5 Research subjects and languages the work is about.[Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/yicheng-zou/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/yicheng-zou/year/2025/) · [**2021** 1 paper](https://md.research.elamur.ai/free/en/authors/yicheng-zou/year/2021/) ## Papers The most cited first (OpenAlex and our library). 1. **[TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing](https://md.research.elamur.ai/free/en/papers/wang-2021-textflint-unified-multilingual-robustness-evaluation/)** *(2021 · 147 citations)* NLP models with high accuracy often break when their inputs are slightly altered. Earlier robustness tools usually test either generic perturbations or task-specific ones, which makes a complete assessment hard. TextFlint addresses this with one open-source framework for English and Chinese. It combines four kinds of… 2. **[What are the Essential Factors in Crafting Effective Long Context Multi-Hop Instruction Datasets? Insights and Best Practices](https://md.research.elamur.ai/free/en/papers/chen-2025-what-are-essential-factors-crafting/)** *(2025 · 15 citations)* Instruction-tuning LLMs for long contexts requires large amounts of training data, and human annotation of such data is expensive. 3. **[Which Reasoning Trajectories Teach Students to Reason Better? A Simple Metric of Informative Alignment](https://md.research.elamur.ai/free/en/papers/yang-2026-which-reasoning-trajectories-teach-students/)** *(2026 · 4 citations)* Distilling reasoning from a teacher LLM into a student through SFT on long chain-of-thought (CoT) traces does not reliably improve with teacher strength. 4. **[Intern-S1-Pro: Scientific Multimodal Foundation Model at Trillion Scale](https://md.research.elamur.ai/free/en/papers/zou-2026-intern-s1-pro-scientific/)** *(2026 · 3 citations)* Intern-S1-Pro, from Shanghai AI Laboratory, is presented as the first scientific multimodal foundation model with one trillion parameters. ## All works 7 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. **[A Lexicon-Based Graph Neural Network for Chinese NER ↗](https://aclanthology.org/D19-1096/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Tao Gui et al.*2019 · 286 citations* 2. **[TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing](https://md.research.elamur.ai/free/en/papers/wang-2021-textflint-unified-multilingual-robustness-evaluation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiao Wang, Qin Liu, Tao Gui, et al.*2021 · 147 citations* 3. **[Learning Implicit Sentiment in Aspect-based Sentiment Analysis with Supervised Contrastive Pre-Training ↗](https://aclanthology.org/2021.emnlp-main.22/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Zhengyan Li et al.*2021 · 144 citations* 4. **[AgentGym: Evolving Large Language Model-based Agents across Diverse Environments ↗](https://arxiv.org/abs/2406.04151) arXiv:2406.04151 · no summary yet**Zhiheng Xi et al.*2024 · 33 citations* 5. **[What are the Essential Factors in Crafting Effective Long Context Multi-Hop Instruction Datasets? Insights and Best Practices](https://md.research.elamur.ai/free/en/papers/chen-2025-what-are-essential-factors-crafting/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhi Chen, Qiguang Chen, Libo Qin, et al.*2025 · 15 citations* 6. **[Which Reasoning Trajectories Teach Students to Reason Better? A Simple Metric of Informative Alignment](https://md.research.elamur.ai/free/en/papers/yang-2026-which-reasoning-trajectories-teach-students/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuming Yang, Mingyoung Lai, Wanxu Zhao, et al.*2026 · 4 citations* 7. [**Intern-S1-Pro: Scientific Multimodal Foundation Model at Trillion Scale arXiv:2603.25040**Yicheng Zou, Dongsheng Zhu, Lin Zhu, et al.*2026 · 3 citations*](https://md.research.elamur.ai/free/en/papers/zou-2026-intern-s1-pro-scientific/) ## Co-authors here 12 of 28 co-authors with a page, the most papers together first. - [Haijun Lv](https://md.research.elamur.ai/free/en/authors/haijun-lv/) ×2 - [Yunhua Zhou](https://md.research.elamur.ai/free/en/authors/yunhua-zhou/) ×2 - [Bowen Zhou](https://md.research.elamur.ai/free/en/authors/bowen-zhou/) - [Dahua Lin](https://md.research.elamur.ai/free/en/authors/dahua-lin/) - [Hang Yan](https://md.research.elamur.ai/free/en/authors/hang-yan/) - [Jiacheng Ye](https://md.research.elamur.ai/free/en/authors/jiacheng-ye/) - [Jun Zhao](https://md.research.elamur.ai/free/en/authors/jun-zhao/) - [Kai Chen](https://md.research.elamur.ai/free/en/authors/kai-chen/) - [Libo Qin](https://md.research.elamur.ai/free/en/authors/libo-qin/) - [Lin Zhu](https://md.research.elamur.ai/free/en/authors/lin-zhu/) - [Mingqi Wu](https://md.research.elamur.ai/free/en/authors/mingqi-wu/) - [Qi Zhang](https://md.research.elamur.ai/free/en/authors/qi-zhang/) ## 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/) ×3: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/), [ACL 2021](https://md.research.elamur.ai/free/en/venues/acl/2021/) - [Science China Information Sciences](https://md.research.elamur.ai/free/en/venues/science-china-information-sciences/) - Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) - Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing ## Cited by Papers of our library cite their works 819 times (of the 149,439 papers whose bibliographies we read); [211 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yicheng-zou/cited-by/). Updated 1 November 2026