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Kaizhu Huang

4 papers hereh-index 7248 citations32 works total

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

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • cs.CV2
same name
  • Kaizhu Huang — 27 papers, h 8
  • Kaizhu Huang — 23 papers, h 42
  • Kaizhu Huang — 20 papers, h 7
  • Kaizhu Huang — 6 papers
  • Kaizhu Huang — 5 papers, h 2
  • Kaizhu Huang — 2 papers, h 3

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 citedMathAttack: Attacking Large Language Models Towards Math Solving Ability

2 citations · 3 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CL2023

Zero-Shot Medical Information Retrieval via Knowledge Graph Embedding

Yuqi Wang, Zeqiang Wang, Wei Wang +4

In the era of the Internet of Things (IoT), the retrieval of relevant medical information has become essential for efficient clinical decision-making. This paper introduces MedFusi…

cs.CL2023★ 2 cited

MathAttack: Attacking Large Language Models Towards Math Solving Ability

Zihao Zhou, Qiufeng Wang, Mingyu Jin +6

With the boom of Large Language Models (LLMs), the research of solving Math Word Problem (MWP) has recently made great progress. However, there are few studies to examine the secur…

cs.CV2023★ 1 cited

A Symbolic Character-Aware Model for Solving Geometry Problems

Maizhen Ning, Qiu-Feng Wang, Kaizhu Huang +1

AI has made significant progress in solving math problems, but geometry problems remain challenging due to their reliance on both text and diagrams. In the text description, symbol…

cs.CV2023

SaliencyCut: Augmenting Plausible Anomalies for Anomaly Detection

Jianan Ye, Yijie Hu, Xi Yang +3

Anomaly detection under open-set scenario is a challenging task that requires learning discriminative fine-grained features to detect anomalies that were even unseen during trainin…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.