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Xiang Wan

Xiang Wan has 5 papers in our library, in 2020–2024, most of them on Language models & pretraining, Multilingual & cross-lingual NLP, Evaluation & benchmarks; often with Zhihong Chen, Guiming Hardy Chen, Jianquan Li.

5 papers in our library · 2020–2024

OpenAlex · ORCID · Wikidata · h-index 33 · 138 works · 21,370 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 420 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #1958

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

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.

 Concepts, shelves and topics

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

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. Generating Radiology Reports via Memory-driven Transformer (2020 · 710 citations)
    Chest X-ray reports are long, multi-sentence texts. They usually contain a findings section and an impression section. Standard image captioning models are built for short scene descriptions and handle such reports poorly. Earlier retrieval- and template-based systems depend on large databases or hand-built template…
  2. HuatuoGPT, Towards Taming Language Model to Be a Doctor (2023 · 282 citations)
    The paper tackles how to build a Chinese medical consultation model that is both clear for patients and clinically competent.
  3. Phoenix: Democratizing ChatGPT across Languages (2023 · 68 citations)
    Open ChatGPT-style assistants released in early 2023 were mostly built for English, or English plus Chinese.
  4. ALLaVA: Harnessing GPT4V-Synthesized Data for Lite Vision-Language Models (2024 · 60 citations)
    Lite vision-language models of about 4B parameters are cheap to train and run, but they usually trail 7B/13B LVLMs.
  5. CMB: A Comprehensive Medical Benchmark in Chinese (2023 · 54 citations)
    Evaluating LLMs for medicine in China is hard because translated English benchmarks miss local practice, especially traditional Chinese medicine (TCM). The authors therefore built CMB, a medical benchmark created natively in Chinese. It has two parts:

All works

8 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them.

  1. Phoenix: Democratizing ChatGPT across LanguagesarXiv:2304.10453Zhihong Chen, Feng Jiang, Junying Chen, et al.2023 · 68 citations
  2. ALLaVA: Harnessing GPT4V-Synthesized Data for Lite Vision-Language ModelsarXiv:2402.11684Guiming Hardy Chen, Shunian Chen, Ruifei Zhang, et al.2024 · 60 citations
  3. CMB: A Comprehensive Medical Benchmark in ChinesearXiv:2308.08833Xidong Wang, Guiming Hardy Chen, Dingjie Song, et al.2023 · 54 citations
  4. Improving Grammatical Error Correction with Multimodal Feature IntegrationFindings of the Association for Computational Linguistics: ACL 2023 · original ↗ · no summary yetTao Fang et al.2023 · 25 citations
  5. Self-Instructed Derived Prompt Generation Meets In-Context Learning: Unlocking New Potential of Black-Box LLMsProceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · original ↗ · no summary yetZhuo Li et al.2025 · 9 citations
  6. Add-One-In: Incremental Sample Selection for Large Language Models via a Choice-Based Greedy ParadigmProceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · original ↗ · no summary yetZhuo Li et al.2025 · 5 citations

 Co-authors here

12 of 16 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 420 times (of the 141,840 papers whose bibliographies we read); 52 citing papers with a page here →.

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