Documenti analoghi

• AdamMeme: Adaptively Probe the Reasoning Capacity of Multimodal Large Language Models on Harmfulness
  di: Chen, Zixin, et al.
  Pubblicazione: (2025)
• MemeArena: Automating Context-Aware Unbiased Evaluation of Harmfulness Understanding for Multimodal Large Language Models
  di: Chen, Zixin, et al.
  Pubblicazione: (2025)
• MFC-Bench: Benchmarking Multimodal Fact-Checking with Large Vision-Language Models
  di: Wang, Shengkang, et al.
  Pubblicazione: (2024)
• MM-CRITIC: A Holistic Evaluation of Large Multimodal Models as Multimodal Critique
  di: Zeng, Gailun, et al.
  Pubblicazione: (2025)
• GOAT-Bench: Safety Insights to Large Multimodal Models through Meme-Based Social Abuse
  di: Lin, Hongzhan, et al.
  Pubblicazione: (2024)