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Qingyu Chen

9 papers hereh-index 5168 citations17 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author5

Across the 8 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.CV3
  • cs.AI1
  • cs.LG1
same name
  • Qingyu Chen — 31 papers, h 32
  • Qingyu Chen — 16 papers, h 11
  • Qingyu Chen — 6 papers, h 2
  • Qingyu Chen — 6 papers, h 3
  • Qingyu Chen — 5 papers, h 3
  • Qingyu Chen — 5 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedAugmenting Biomedical Named Entity Recognition with General-domain Resources

7 citations · 10 across the 9 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2026

HealMed: Multilingual Evaluation of Large Language Models in Medicine

Yingjian Chen, Fan Gao, Sherry T. Tong +42

We present HealMed, an expert-reviewed benchmark for multilingual evaluation of large language models in medicine. HealMed contains 1,000 examples in each of nine languages, drawn…

cs.CL2024★ 1 cited

Humans and Large Language Models in Clinical Decision Support: A Study with Medical Calculators

Nicholas Wan, Qiao Jin, Joey Chan +8

Although large language models (LLMs) have been assessed for general medical knowledge using licensing exams, their ability to support clinical decision-making, such as selecting m…

cs.CL2024

MedINST: Meta Dataset of Biomedical Instructions

Wenhan Han, Meng Fang, Zihan Zhang +5

The integration of large language model (LLM) techniques in the field of medical analysis has brought about significant advancements, yet the scarcity of large, diverse, and well-a…

cs.CL2024★ 7 cited

Augmenting Biomedical Named Entity Recognition with General-domain Resources

Yu Yin, Hyunjae Kim, Xiao Xiao +6

Training a neural network-based biomedical named entity recognition (BioNER) model usually requires extensive and costly human annotations. While several studies have employed mult…

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