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Wenjuan Han

Wenjuan Han has 3 papers in our library, in 2023–2026, most of them on Machine translation, Language models & pretraining, Information extraction; often with Baobao Chang, Fandong Meng, Haozhe Zhao.

3 papers in our library · 2023–2026

OpenAlex · h-index 6 · 23 works · 211 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 175 times in our library · ⭐ Paper Stars ranking: #4732

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

🎓Beijing Jiaotong UniversityBeijing · China2023–2025 · 14 paperscurrent🏥First Hospital of Shanxi Medical UniversityTaiyuan · China2025 · 1 papercurrent🎓Shanxi Medical UniversityTaiyuan · China2025 · 1 papercurrent🏛️Beijing Institute for General Artificial IntelligenceBeijing · China2022 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 2 works

🧭 Topics 4Research subjects and languages the work is about.Information extraction · 1 workLanguage models & pretraining · 1 workVision & language · 1 workMachine translation · 1 work

 Works by year

2020s

20261 paper20232 papers

 Papers

The most cited first (OpenAlex and our library).

  1. ChatIE: Zero-Shot Information Extraction via Chatting with ChatGPT (2023 · 276 citations)
    Building information extraction (IE) systems usually requires costly labeled data. This paper asks whether a large language model can perform IE with no task-specific training, using only prompts. The authors propose ChatIE, which recasts zero-shot IE as a multi-turn dialogue with ChatGPT in two stages. First, the…
  2. MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning (2023 · 58 citations)
    Most vision-language models (VLMs) built on large language models handle prompts with a single image well.
  3. FeedTrans: Enhance Machine Translation via Feedback (2026)
    Reinforcement learning (RL) for machine translation usually rewards a model only for what it can already produce.

 Co-authors here

12 of 15 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 175 times (of the 149,439 papers whose bibliographies we read); 30 citing papers with a page here →.

Updated

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