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Junfeng Fang

Junfeng Fang has 3 papers in our library, in 2025, most of them on Language models & pretraining, Reasoning, Information retrieval & search; often with An Zhang, Xiang Wang, Baolong Bi.

3 papers in our library · 2025

OpenAlex · ORCID · Wikidata · h-index 57 · 271 works · 11,282 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 188 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7701

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

🎓East China Normal UniversityShanghai · China2019–2026 · 88 papersEmployment since 2019 · Professor, School of physics and electronic sciencecurrent🎓University of Science and Technology of ChinaHefei · China2024–2026 · 6 paperscurrent🏥First People's Hospital of Yunnan ProvinceKunming · China2018–2026 · 3 paperscurrent🎓Kunming University of Science and TechnologyKunming · China2018–2026 · 3 paperscurrent🏛️Chinese Academy of SciencesBeijing · China2003–2024 · 136 papers🔬Ningbo Institute of Industrial TechnologyNingbo · China2011–2024 · 120 papersEmployment 2011–2019🎓University of Chinese Academy of SciencesBeijing · China2017–2022 · 26 papers🔬Changchun Institute of Applied ChemistryChangchun · China2003–2013 · 20 papers🔬State Key Laboratory of Polymer Physics and ChemistryBeijing · China2003–2013 · 18 papers🎓National University of SingaporeSingapore · Singapore2024–2025 · 7 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 8 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 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksComputer Vision and Pattern Recognition · 3 worksLanguage and Linguistics · 3 worksInformation Systems · 1 work

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 1 workInformation retrieval & search · 1 workReasoning · 1 work

 Works by year

2020s

20253 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence (2025 · 21 citations)
    Large vision-language models (LVLMs) often hallucinate, describing objects that are not in the image. Most existing remedies retrain the model or adjust output logits after generation. This paper instead looks inside the multi-head attention module. The authors define Vision-aware Head Divergence (VHD), which…
  2. Search and Refine During Think: Facilitating Knowledge Refinement for Improved Retrieval-Augmented Reasoning (2025 · 18 citations)
    Retrieval-augmented LLMs trained with reinforcement learning tend to reason over whole retrieved documents, which are often noisy.
  3. Neuron-Level Sequential Editing for Large Language Models (2025 · 15 citations)
    Large language models store facts that go out of date, and full retraining is expensive. Parameter-editing methods such as ROME and MEMIT work well for a single round of edits. When edits are applied one after another, however, they tend to lose earlier edits ("model forgetting") and can collapse into incoherent…

All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. Constructing heterojunctions by surface sulfidation for efficient inverted perovskite solar cells ↗Science · no summary yetXiaodong Li et al.2022 · 908 citations
  2. Cracking the Code of Hallucination in LVLMs with Vision-aware Head DivergenceAnnual Meeting of the Association for Computational Linguistics (ACL)Jinghan He, Kuan Zhu, Haiyun Guo, et al.2025 · 21 citations
  3. Search and Refine During Think: Facilitating Knowledge Refinement for Improved Retrieval-Augmented ReasoningConference on Neural Information Processing Systems (NeurIPS)Yaorui Shi, Sihang Li, Chang Wu, et al.2025 · 18 citations
  4. Neuron-Level Sequential Editing for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Houcheng Jiang, Junfeng Fang, Tianyu Zhang, et al.2025 · 15 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 188 times (of the 149,439 papers whose bibliographies we read); 63 citing papers with a page here →.

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