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researcher

Pan Zhou

34 papers hereh-index 151.4k citations43 works total

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

author position
  • middle author31
  • last author2

Across the 33 of 34 papers where every author was matched, so the position is known.

fields
  • cs.CR11
  • cs.AI6
  • cs.CL6
  • cs.CV5
  • cs.RO4
  • cs.DC1
same name
  • Pan Zhou — 59 papers, h 38
  • Pan Zhou — 31 papers, h 47
  • Pan Zhou — 20 papers, h 20
  • Pan Zhou — 20 papers, h 16
  • Pan Zhou — 13 papers, h 3
  • Pan Zhou — 8 papers, h 2

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
20232026
most citedJailbreaking GPT-4V via Self-Adversarial Attacks with System Prompts

7 citations · 35 across the 28 of their papers we have counts for

collaborators
Showing 2024 · cs.CLShow all

4 papers · 2 filters

cs.CL2024★ 3 cited

Can Large Language Models Automatically Jailbreak GPT-4V?

Yuanwei Wu, Yue Huang, Yixin Liu +3

GPT-4V has attracted considerable attention due to its extraordinary capacity for integrating and processing multimodal information. At the same time, its ability of face recogniti…

cs.CL2024★ 1 cited

Self-Cognition in Large Language Models: An Exploratory Study

Dongping Chen, Jiawen Shi, Yao Wan +3

While Large Language Models (LLMs) have achieved remarkable success across various applications, they also raise concerns regarding self-cognition. In this paper, we perform a pion…

cs.CL2024★ 3 cited

CodeIP: A Grammar-Guided Multi-Bit Watermark for Large Language Models of Code

Batu Guan, Yao Wan, Zhangqian Bi +4

Large Language Models (LLMs) have achieved remarkable progress in code generation. It now becomes crucial to identify whether the code is AI-generated and to determine the specific…

cs.CL2024★ 5 cited

MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark

Dongping Chen, Ruoxi Chen, Shilin Zhang +7

Multimodal Large Language Models (MLLMs) have gained significant attention recently, showing remarkable potential in artificial general intelligence. However, assessing the utility…

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