Jiacheng Ye
Jiacheng Ye has 2 papers in our library, in 2021–2022, most of them on Multilingual & cross-lingual NLP; often with Jiangtao Feng, Lingpeng Kong, Qi Zhang.
OpenAlex · ORCID · h-index 16 · 51 works · 851 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 457 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #3806
Affiliations
🎓University of Southern CaliforniaLos Angeles ·
United States2023–2025 · 6 papers🎓Fujian Medical UniversityFuzhou ·
China2019–2025 · 3 papers🎓Zhejiang UniversityHangzhou ·
China2025 · 2 papers🎓Jiaxing UniversityJiaxing ·
China2025 · 1 paper🎓Fudan UniversityShanghai ·
China2020–2021 · 10 papers🎓University of Hong KongPok Fu Lam ·
Hong Kong2022–2023 · 9 papers🎓Hangzhou Normal UniversityHangzhou ·
China2021–2022 · 4 papers🔬Shanghai Artificial Intelligence LaboratoryShanghai ·
China2022–2023 · 3 papers🎓China Jiliang UniversityHangzhou ·
China2023 · 2 papers🎓Xiamen UniversityXiamen ·
China2023 · 2 papers
Concepts, shelves and topics
📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works
🧭 Topics 1Research subjects and languages the work is about.Multilingual & cross-lingual NLP · 1 work
Works by year
2020s
20221 paperZeroGen: Efficient Zero-shot Learning via Dataset Generation20211 paperTextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing
Papers
- ZeroGen: Efficient Zero-shot Learning via Dataset Generation (2022 · 242 citations)
The paper asks whether zero-shot NLP can avoid running a huge pre-trained language model (PLM) at inference time. - TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing (2021 · 146 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…
All works
- ZeroGen: Efficient Zero-shot Learning via Dataset GenerationJiacheng Ye, Jiahui Gao, Qintong Li, et al.Conference on Empirical Methods in Natural Language Processing (EMNLP) · 242 citations
- Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering · original ↗ · no summary yet · arXiv:2212.10375Zhiyong Wu et al.2022 · 159 citations
- TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language ProcessingXiao Wang, Qin Liu, Tao Gui, et al.Annual Meeting of the Association for Computational Linguistics (ACL) · 146 citations
- Compositional Exemplars for In-context Learning · original ↗ · no summary yet · arXiv:2302.05698Jiacheng Ye et al.2023 · 120 citations
- G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model · original ↗ · no summary yet · arXiv:2312.11370Jiahui Gao et al.2023 · 74 citations
Co-authors here
- Jiangtao Feng
- Lingpeng Kong
- Qi Zhang
- Qin Liu
- Qintong Li
- Rui Zheng
- Tao Gui
- Tao Yu
- Xiao Wang
- Xin Zhou
- Zhiyong Wu
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2021
- Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2022
Cited by
Updated
This page in Markdown → https://md.research.elamur.ai/free/en/authors/jiacheng-ye/