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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.

2 papers in our library · 2021–2022

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

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

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 12 more institutions on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 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

 Papers

The most cited first (OpenAlex and our library).

  1. 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.
  2. 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

5 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. 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
  2. Compositional Exemplars for In-context Learning · original ↗ · no summary yet · arXiv:2302.05698Jiacheng Ye et al.2023 · 120 citations
  3. 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

11 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 457 times (of the 141,840 papers whose bibliographies we read); 34 citing papers with a page here →.

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