[EMNLP'25] A Benchmark for Assessing VLM Safety with Real-World Memes
DongGeon Lee
oneonlee
AI & ML interests
Data-centric natural language processing, AI Safety
Recent Activity
upvoted
a
paper
about 5 hours ago
What Users Leave Unsaid: Under-Specified Queries Limit Vision-Language Models
upvoted
a
collection
7 days ago
COMPASS
authored
a paper
7 days ago
Everyday Physics in Korean Contexts: A Culturally Grounded Physical
Reasoning Benchmark
Organizations
models
14
oneonlee/llama-3.1-nemoguard-8b-content-safety-merged
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oneonlee/KorMath-Llama-3.1-8B-SFT
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oneonlee/Llama-3.1-8B-SFT
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8B
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oneonlee/KorMath-Llama-3.1-8B
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8B
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oneonlee/Unverified-KorMath-Llama-3.2-1B-SFT
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oneonlee/Unverified-KorMath-Llama-3.2-1B
Text Generation
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1B
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oneonlee/KorMath-Llama-3.2-3B-SFT
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3B
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oneonlee/KorMath-Llama-3.2-1B-SFT
Text Generation
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1B
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oneonlee/Llama-3.2-1B-SFT
Text Generation
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1B
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oneonlee/KorMath-Llama-3.2-3B
Text Generation
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3B
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datasets
7
oneonlee/SIUO
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334
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22
oneonlee/Meme-Safety-Bench
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50.8k
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232
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5
oneonlee/aegis2-train
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30k
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5
oneonlee/wildguardmix-train
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86.8k
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5
oneonlee/Wiki-NFQA
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1.89k
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9
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oneonlee/wiki-kg-prob
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230
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3
oneonlee/cleansed_emocontext
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38.4k
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24
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