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Liwei Wang

Liwei Wang has 2 papers in our library, in 2019–2023, most of them on Language models & pretraining, Text generation; often with Dahua Lin, Di He, Jun Gao.

2 papers in our library · 2019–2023

OpenAlex · ORCID · Wikidata · h-index 45 · 379 works · 9,454 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 256 times in our library · 5 more in our library without a page yet · ⭐ Paper Stars ranking: #5761

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. 61 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.

 Works by year

2020s

2010s

 Papers

The most cited first (OpenAlex and our library).

  1. Representation Degeneration Problem in Training Natural Language Generation Models (2019 · 181 citations)
    The paper identifies a flaw in neural text generators trained by maximum likelihood with weight tying, where the input embedding matrix is shared with the softmax output layer.
  2. CLEVA: Chinese Language Models EVAluation Platform (2023 · 11 citations)
    Evaluating the growing number of Chinese large language models is difficult. Existing Chinese benchmarks focus mostly on exam-style knowledge and reasoning or report accuracy alone. Prompts differ between studies, so scores cannot be compared. Contamination is usually checked only after testing. CLEVA is an…

All works

7 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. Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetKun Xu et al.2019 · 280 citations
  2. Representation Degeneration Problem in Training Natural Language Generation ModelsarXiv:1907.12009Jun Gao, Di He, Xu Tan, et al.2019 · 181 citations
  3. JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs ↗Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yetPei Ke et al.2021 · 132 citations
  4. Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetAoxue Li et al.2019 · 132 citations
  5. Few-Shot Learning With Global Class Representations ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetAoxue Li et al.2019 · 103 citations
  6. Hint-Based Training for Non-Autoregressive Machine Translation ↗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 yetZhuohan Li et al.2019 · 86 citations
  7. CLEVA: Chinese Language Models EVAluation PlatformarXiv:2308.04813Yanyang Li, Jianqiao Zhao, Duo Zheng, et al.2023 · 11 citations

 Co-authors here

9 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 256 times (of the 149,439 papers whose bibliographies we read); 36 citing papers with a page here →.

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