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Bryan Hooi

4 papers here

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

author position
  • middle author2
  • last author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • cs.CV1
  • cs.LG1
same name
  • Bryan Hooi — 29 papers
  • Bryan Hooi — 10 papers, h 29
  • Bryan Hooi — 7 papers
  • Bryan Hooi — 6 papers
  • Bryan Hooi — 4 papers
  • Bryan Hooi — 3 papers, h 10

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 citedEnhancing LLM Character-Level Manipulation via Divide and Conquer

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2025

Do "New Snow Tablets" Contain Snow? Large Language Models Over-Rely on Names to Identify Ingredients of Chinese Drugs

Sifan Li, Yujun Cai, Bryan Hooi +2

Traditional Chinese Medicine (TCM) has seen increasing adoption in healthcare, with specialized Large Language Models (LLMs) emerging to support clinical applications. A fundamenta…

cs.LG2025

Tricking Retrievers with Influential Tokens: An Efficient Black-Box Corpus Poisoning Attack

Cheng Wang, Yiwei Wang, Yujun Cai +1

Retrieval-augmented generation (RAG) systems enhance large language models by incorporating external knowledge, addressing issues like outdated internal knowledge and hallucination…

cs.CL2025★ 1 cited

Enhancing LLM Character-Level Manipulation via Divide and Conquer

Zhen Xiong, Yujun Cai, Bryan Hooi +3

Large Language Models (LLMs) have demonstrated strong generalization capabilities across a wide range of natural language processing (NLP) tasks. However, they exhibit notable weak…

cs.CV2024

Exploring Visual Vulnerabilities via Multi-Loss Adversarial Search for Jailbreaking Vision-Language Models

Shuyang Hao, Bryan Hooi, Jun Liu +3

Despite inheriting security measures from underlying language models, Vision-Language Models (VLMs) may still be vulnerable to safety alignment issues. Through empirical analysis,…

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