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Wenkai Yang

Renmin University of China

20 papers hereh-index 141k citations25 works total

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

author position
  • first author8
  • middle author8
  • last author1

Across the 17 of 20 papers where every author was matched, so the position is known.

fields
  • cs.CL11
  • cs.LG3
  • cs.AI2
  • cs.CR2
  • math.CO1
  • math.NT1
affiliations
  • Renmin University of China
Homepage
same name
  • Wenkai Yang — 9 papers, h 7
  • Wenkai Yang — 6 papers, h 3
  • Wenkai Yang — 5 papers, h 3
  • Wenkai Yang — 2 papers, h 2
  • Wenkai Yang — 1 paper, h 2
  • Wenkai Yang — 1 paper, h 4

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

activity
20212026
most citedBe Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models

11 citations · 34 across the 18 of their papers we have counts for

collaborators
Showing 2024Show all

3 papers · 1 filter

cs.CL2024

Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization

Wenkai Yang, Shiqi Shen, Guangyao Shen +5

Superalignment, where humans act as weak supervisors for superhuman models, has become a crucial problem with the rapid development of Large Language Models (LLMs). Recent work has…

cs.CR2024★ 2 cited

Exploring Backdoor Vulnerabilities of Chat Models

Yunzhuo Hao, Wenkai Yang, Yankai Lin

Recent researches have shown that Large Language Models (LLMs) are susceptible to a security threat known as Backdoor Attack. The backdoored model will behave well in normal cases…

cs.CR2024★ 8 cited

Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents

Wenkai Yang, Xiaohan Bi, Yankai Lin +3

Driven by the rapid development of Large Language Models (LLMs), LLM-based agents have been developed to handle various real-world applications, including finance, healthcare, and…

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