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Jie Fu

Jie Fu has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining, Vision & language; often with Chi-Min Chan, Dong Zhang, Ge Zhang.

2 papers in our library · 2023–2024

OpenAlex · ORCID · Wikidata · h-index 23 · 80 works · 2,026 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 1,052 times in our library · 8 more in our library without a page yet · ⭐ Paper Stars ranking: #3585

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

🎓Hong Kong University of Science and TechnologyHong Kong · Hong Kong2023–2026 · 63 papersEmploymentcurrent🔬Shanghai Artificial Intelligence LaboratoryShanghai · China2024–2026 · 11 paperscurrent🔬Beijing Academy of Artificial IntelligenceBeijing · China2021–2023 · 22 papersEmployment since 2022 · Researcher🔬Mila - Quebec Artificial Intelligence InstituteMontreal · Canada2019–2025 · 13 papers🎓Polytechnique MontréalMontreal · Canada2017–2021 · 13 papersEmployment 2017–2021 · Postdoc🎓Université de MontréalMontreal · Canada2019–2025 · 10 papers🎓Tsinghua UniversityBeijing · China2019–2024 · 5 papers🎓Sichuan UniversityChengdu · China2020–2023 · 4 papers🎓Fudan UniversityShanghai · China2018–2024 · 3 papers🏢Microsoft Research AsiaBeijing · China2020 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 14 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 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 2Research subjects and languages the work is about.Language models & pretraining · 1 workVision & language · 1 work

 Works by year

2020s

20241 paperAnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling20231 paperChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate

 Papers

The most cited first (OpenAlex and our library).

  1. ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate (2023 · 351 citations)
    Judging the quality of generated text is costly when done by people. N-gram metrics such as BLEU, Rouge and METEOR are cheap but align poorly with human opinion on open-ended outputs. Using a single LLM as a judge narrows this gap but does not yet reach human-level quality. ChatEval responds by turning evaluation…
  2. AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling (2024 · 94 citations)
    AnyGPT addresses the challenge of building one language model that can both understand and generate several non-text modalities (speech, images, music) in any combination.

All works

10 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. ChatEval: Towards Better LLM-based Evaluators through Multi-Agent DebatearXiv:2308.07201Chi-Min Chan, Weize Chen, Yusheng Su, et al.2023 · 351 citations
  2. AI Alignment: A Comprehensive SurveyarXiv:2310.19852 · original ↗ · no summary yetJiaming Ji et al.2023 · 169 citations
  3. OpenCodeInterpreter: Integrating Code Generation with Execution and RefinementFindings of the Association for Computational Linguistics: ACL 2024 · original ↗ · no summary yetTianyu Zheng et al.2024 · 126 citations
  4. AutoAgents: A Framework for Automatic Agent GenerationarXiv:2309.17288 · original ↗ · no summary yetGuangyao Chen et al.2023 · 106 citations
  5. AnyGPT: Unified Multimodal LLM with Discrete Sequence ModelingAnnual Meeting of the Association for Computational Linguistics (ACL)Jun Zhan, Junqi Dai, Jiasheng Ye, et al.2024 · 94 citations
  6. RQ-RAG: Learning to Refine Queries for Retrieval Augmented GenerationarXiv:2404.00610 · original ↗ · no summary yetChi-Min Chan et al.2024 · 89 citations
  7. Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial LearningarXiv:1905.12304 · original ↗ · no summary yetDayiheng Liu et al.2019 · 73 citations
  8. TACO: Topics in Algorithmic COde generation datasetarXiv:2312.14852 · original ↗ · no summary yetRongao Li et al.2023 · 70 citations
  9. Kun: Answer Polishment for Chinese Self-Alignment with Instruction Back-TranslationarXiv:2401.06477 · original ↗ · no summary yetTianyu Zheng; Shuyue Guo; Xingwei Qu; Jiawei Guo; Xinrun Du; Qi Jia; Chenghua Lin; Wenhao Huang; Jie Fu;, Ge Zhang2024 · 8 citations
  10. Unifying Discrete and Continuous Representations for Unsupervised Paraphrase GenerationProceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · original ↗ · no summary yetMingfeng Xue et al.2023 · 3 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 1,052 times (of the 141,840 papers whose bibliographies we read); 61 citing papers with a page here →.

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