MemeBridge: A Dataset for Benchmarking and Mitigating the Bidirectional Cultural Gap in Meme Interpretation

arXiv:2609.00491 · cs.CL, cs.HC · Submitted 2026-08-31 · Read on arXiv

cs.CL, cs.HC

Submitted: 2026-08-31

Updated: 2026-08-31

Terminology

• Accuracy — 23× in this paper · explained in 1 episode
• Alignment — 10× in this paper · explained in 1 episode
• Benchmarking — 10× in this paper · explained in 4 episodes
• Fine-Tuning — 9× in this paper · explained in 5 episodes
• Performance Score — 6× in this paper
• Adam — 3× in this paper · explained in 2 episodes
• Adaptation — 3× in this paper · explained in 1 episode
• Consistency — 3× in this paper · explained in 3 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Adaptability — 2× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• Cosine Similarity — 2× in this paper · explained in 3 episodes
• Initial Data — 2× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• Multimodal Reasoning — 2× in this paper · explained in 5 episodes
• Verification — 2× in this paper · explained in 2 episodes
• AUC — 1× in this paper · explained in 2 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• LLM judge — 1× in this paper · explained in 2 episodes
• LLM-as-a-Judge — 1× in this paper · explained in 3 episodes
• Lexical Diversity — 1× in this paper · explained in 2 episodes
• Multimodal Dataset — 1× in this paper · explained in 2 episodes
• Pairwise Comparisons — 1× in this paper · explained in 2 episodes
• Semantic Alignment — 1× in this paper · explained in 3 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Type-Token Ratio — 1× in this paper
• Vision-language models — 1× in this paper · explained in 2 episodes

Sources

• GPT-4 Technical Report
• Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
• Multi3Hate: Multimodal, Multilingual, and Multicultural Hate Speech Detection with Vision-Language Models
• The Llama 3 Herd of Models
• A Survey on LLM-as-a-Judge
• GPT-4o System Card
• ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

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