MM-MoralBench: A MultiModal Moral Evaluation Benchmark for Large Vision-Language Models

Documenti analoghi

• Measuring the Measurers: Quality Evaluation of Hallucination Benchmarks for Large Vision-Language Models
  di: Yan, Bei, et al.
  Pubblicazione: (2024)
• VLBiasBench: A Comprehensive Benchmark for Evaluating Bias in Large Vision-Language Model
  di: Wang, Sibo, et al.
  Pubblicazione: (2024)
• REVAL: A Comprehension Evaluation on Reliability and Values of Large Vision-Language Models
  di: Zhang, Jie, et al.
  Pubblicazione: (2025)
• MoralBench: Moral Evaluation of LLMs
  di: Ji, Jianchao, et al.
  Pubblicazione: (2024)
• Assimilation Matters: Model-level Backdoor Detection in Vision-Language Pretrained Models
  di: Wang, Zhongqi, et al.
  Pubblicazione: (2025)