---
title: "Jie Fu — author profile and papers — Elamur Research"
description: "Jie Fu, Hong Kong University of Science and Technology: 2 papers on Elamur Research (2023–2024), h-index 23 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/jie-fu/"
---
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# Jie Fu

Jie Fu has 2 papers in our library, in 2023–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Chi-Min Chan](https://md.research.elamur.ai/free/en/authors/chi-min-chan/), [Dong Zhang](https://md.research.elamur.ai/free/en/authors/dong-zhang/), [Ge Zhang](https://md.research.elamur.ai/free/en/authors/ge-zhang/).

2 papers in our library · 2023–2024

[OpenAlex](https://openalex.org/A5101713885) · [ORCID](https://orcid.org/0000-0002-4494-843X) · [Wikidata](https://www.wikidata.org/wiki/Q131009003) · [**h-index 23**](https://openalex.org/authors/A5101713885) · [80 works](https://openalex.org/works?filter=author.id:A5101713885) · [2,026 citations](https://openalex.org/works?filter=author.id:A5101713885&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jie-fu/#papers) · [🔗 Cited 1,052 times in our library](https://md.research.elamur.ai/free/en/authors/jie-fu/cited-by/) · [8 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3583](https://md.research.elamur.ai/free/en/paper-stars/page/36/#star-3583)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Jie+Fu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jie+Fu) · [dblp](https://dblp.org/search?q=Jie+Fu) · [ACL Anthology](https://aclanthology.org/search/?q=Jie+Fu)

## Affiliations

[🎓**Hong Kong University of Science and Technology** Hong Kong · China 2023–2026 · 63 papersEmployment*current*](https://md.research.elamur.ai/free/en/universities/hong-kong-university-of-science-and-technology/) · [🔬**Shanghai Artificial Intelligence Laboratory** Shanghai · China 2024–2026 · 11 papers*current*](https://md.research.elamur.ai/free/en/labs/shanghai-artificial-intelligence-laboratory/) · [🔬**Beijing Academy of Artificial Intelligence** Beijing · China 2021–2023 · 22 papersEmployment since 2022 · Researcher](https://md.research.elamur.ai/free/en/labs/beijing-academy-of-artificial-intelligence/) · [🔬**Mila - Quebec Artificial Intelligence Institute** Montreal · Canada 2019–2025 · 13 papers](https://md.research.elamur.ai/free/en/labs/mila-quebec-artificial-intelligence-institute/) · [🎓**Polytechnique Montréal** Montreal · Canada 2017–2021 · 13 papersEmployment 2017–2021 · Postdoc](https://md.research.elamur.ai/free/en/universities/polytechnique-montreal/) · [🎓**Université de Montréal** Montreal · Canada 2019–2025 · 10 papers](https://md.research.elamur.ai/free/en/universities/universite-de-montreal/) · [🎓**Tsinghua University** Beijing · China 2019–2024 · 5 papers](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🎓**Sichuan University** Chengdu · China 2020–2023 · 4 papers](https://md.research.elamur.ai/free/en/universities/sichuan-university/) · [🎓**Fudan University** Shanghai · China 2018–2024 · 3 papers](https://md.research.elamur.ai/free/en/universities/fudan-university/) · [🏢**Microsoft Research Asia** Beijing · China 2020 · 3 papers](https://md.research.elamur.ai/free/en/companies/microsoft-research-asia/)

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.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/)

## Works by year

### 2020s

[**2024** 1 paper Jie Fu's papers of 2024](https://md.research.elamur.ai/free/en/papers/zhan-2024-anygpt-unified-multimodal-llm-discrete/) · [**2023** 1 paper Jie Fu's papers of 2023](https://md.research.elamur.ai/free/en/papers/chan-2023-chateval-better-llm-based/)

## Papers

The most cited first (OpenAlex and our library).

1. **[ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate](https://md.research.elamur.ai/free/en/papers/chan-2023-chateval-better-llm-based/)** *(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](https://md.research.elamur.ai/free/en/papers/zhan-2024-anygpt-unified-multimodal-llm-discrete/)** *(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 Debate arXiv:2308.07201**Chi-Min Chan, Weize Chen, Yusheng Su, et al.*2023 · 351 citations*](https://md.research.elamur.ai/free/en/papers/chan-2023-chateval-better-llm-based/)
2. **[AI Alignment: A Comprehensive Survey ↗](https://arxiv.org/abs/2310.19852) arXiv:2310.19852 · no summary yet**Jiaming Ji et al.*2023 · 169 citations*
3. **[OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement ↗](https://aclanthology.org/2024.findings-acl.762/) Findings of the Association for Computational Linguistics: ACL 2024 · no summary yet**Tianyu Zheng et al.*2024 · 126 citations*
4. **[AutoAgents: A Framework for Automatic Agent Generation ↗](https://arxiv.org/abs/2309.17288) arXiv:2309.17288 · no summary yet**Guangyao Chen et al.*2023 · 106 citations*
5. **[AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling](https://md.research.elamur.ai/free/en/papers/zhan-2024-anygpt-unified-multimodal-llm-discrete/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jun Zhan, Junqi Dai, Jiasheng Ye, et al.*2024 · 94 citations*
6. **[RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation ↗](https://arxiv.org/abs/2404.00610) arXiv:2404.00610 · no summary yet**Chi-Min Chan et al.*2024 · 89 citations*
7. **[Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning ↗](https://arxiv.org/abs/1905.12304) arXiv:1905.12304 · no summary yet**Dayiheng Liu et al.*2019 · 73 citations*
8. **[TACO: Topics in Algorithmic COde generation dataset ↗](https://arxiv.org/abs/2312.14852) arXiv:2312.14852 · no summary yet**Rongao Li et al.*2023 · 70 citations*
9. **[Kun: Answer Polishment for Chinese Self-Alignment with Instruction Back-Translation ↗](https://arxiv.org/abs/2401.06477) arXiv:2401.06477 · no summary yet**Tianyu Zheng; Shuyue Guo; Xingwei Qu; Jiawei Guo; Xinrun Du; Qi Jia; Chenghua Lin; Wenhao Huang; Jie Fu;, Ge Zhang*2024 · 8 citations*
10. **[Unifying Discrete and Continuous Representations for Unsupervised Paraphrase Generation ↗](https://aclanthology.org/2023.emnlp-main.852/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yet**Mingfeng Xue et al.*2023 · 3 citations*

## Co-authors here

11 co-authors with a page, the most papers together first.

- [Chi-Min Chan](https://md.research.elamur.ai/free/en/authors/chi-min-chan/)
- [Dong Zhang](https://md.research.elamur.ai/free/en/authors/dong-zhang/)
- [Ge Zhang](https://md.research.elamur.ai/free/en/authors/ge-zhang/)
- [Hang Yan](https://md.research.elamur.ai/free/en/authors/hang-yan/)
- [Jun Zhan](https://md.research.elamur.ai/free/en/authors/jun-zhan/)
- [Junqi Dai](https://md.research.elamur.ai/free/en/authors/junqi-dai/)
- [Linyang Li](https://md.research.elamur.ai/free/en/authors/linyang-li/)
- [Weize Chen](https://md.research.elamur.ai/free/en/authors/weize-chen/)
- [Xin Zhang](https://md.research.elamur.ai/free/en/authors/xin-zhang/)
- [Yusheng Su](https://md.research.elamur.ai/free/en/authors/yusheng-su/)
- [Zhiyuan Liu](https://md.research.elamur.ai/free/en/authors/zhiyuan-liu/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2024](https://md.research.elamur.ai/free/en/venues/acl/2024/)
- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) ×2
- Findings of the Association for Computational Linguistics: ACL 2024

## 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 →](https://md.research.elamur.ai/free/en/authors/jie-fu/cited-by/).

Updated 24 October 2026
