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Yicheng Zou

Yicheng Zou has 4 papers in our library, in 2021–2026, most of them on Language models & pretraining, Multilingual & cross-lingual NLP, Evaluation & benchmarks; often with Haijun Lv, Yunhua Zhou, Bowen Zhou.

4 papers in our library · 2021–2026

OpenAlex · ORCID · h-index 14 · 36 works · 1,730 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 819 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #5973

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Fudan UniversityShanghai · China2018–2025 · 17 papers🔬Shanghai Artificial Intelligence LaboratoryShanghai · China2024–2025 · 5 papers🎓Southwest UniversityChongqing · China2023–2024 · 4 papers🎓Harbin Institute of TechnologyHarbin · China2024–2025 · 2 papers

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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 4 worksComputer Science · 4 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 4 worksComputer Vision and Pattern Recognition · 2 works

🧭 Topics 5Research subjects and languages the work is about.Multilingual & cross-lingual NLP · 1 workEvaluation & benchmarks · 1 workReasoning · 1 workLanguage models & pretraining · 1 workVision & language · 1 work

 Works by year

2020s

20262 papers20251 paper20211 paper

 Papers

The most cited first (OpenAlex and our library).

  1. TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing (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 (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 (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 (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 ↗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 yetTao Gui et al.2019 · 286 citations
  2. TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language ProcessingAnnual Meeting of the Association for Computational Linguistics (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 ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetZhengyan Li et al.2021 · 144 citations
  4. AgentGym: Evolving Large Language Model-based Agents across Diverse Environments ↗arXiv:2406.04151 · no summary yetZhiheng Xi et al.2024 · 33 citations
  5. What are the Essential Factors in Crafting Effective Long Context Multi-Hop Instruction Datasets? Insights and Best PracticesAnnual Meeting of the Association for Computational Linguistics (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 AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Yuming Yang, Mingyoung Lai, Wanxu Zhao, et al.2026 · 4 citations
  7. Intern-S1-Pro: Scientific Multimodal Foundation Model at Trillion ScalearXiv:2603.25040Yicheng Zou, Dongsheng Zhu, Lin Zhu, et al.2026 · 3 citations

 Co-authors here

12 of 27 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 819 times (of the 149,439 papers whose bibliographies we read); 166 citing papers with a page here →.

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