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Fuli Luo

Fuli Luo has 2 papers in our library, in 2019–2021, most of them on Language models & pretraining; often with Baobao Chang, Chuanqi Tan, Fei Huang.

2 papers in our library · 2019–2021

OpenAlex · ORCID · Wikidata · h-index 21 · 49 works · 1,746 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 367 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #3494

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

🏢XiaomiBeijing · China2026 · 1 paperEmploymentcurrent🎓Peking UniversityBeijing · China2017–2024 · 26 papersEducation 2017–2020🏢Alibaba GroupHangzhou · China2020–2023 · 14 papers🏢Alibaba DAMO AcademyHangzhou · China2021–2023 · 2 papers🏢DeepSeekHangzhou · ChinaEmployment

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Concepts, shelves and topics

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

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work

 Works by year

2020s

20211 paperFuli Luo's papers of 2021

2010s

20191 paperFuli Luo's papers of 2019

 Papers

The most cited first (OpenAlex and our library).

  1. A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer (2019 · 266 citations)
    The paper addresses unsupervised text style transfer: rewriting a sentence into another style, such as positive to negative sentiment or informal to formal, without parallel data.
  2. Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning (2021 · 200 citations)
    When very large pretrained language models are fine-tuned on small labeled datasets, they tend to overfit and transfer poorly to new domains or related tasks.

All works

4 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. A Dual Reinforcement Learning Framework for Unsupervised Text Style TransferInternational Joint Conference on Artificial IntelligenceFuli Luo, Peng Li, Jie Zhou, et al.2019 · 266 citations
  2. Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuningConference on Empirical Methods in Natural Language Processing (EMNLP)Runxin Xu, Fuli Luo, Zhiyuan Zhang, et al.2021 · 200 citations
  3. A Hierarchical Reinforced Sequence Operation Method for Unsupervised Text Style Transfer ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetChen Wu et al.2019 · 77 citations
  4. Towards Fine-grained Text Sentiment Transfer ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetFuli Luo et al.2019 · 51 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 367 times (of the 141,840 papers whose bibliographies we read); 32 citing papers with a page here →.

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