EncQA: Benchmarking Vision-Language Models on Visual Encodings for Charts

Documenti analoghi

• High-Entropy Tokens as Multimodal Failure Points in Vision-Language Models
  di: He, Mengqi, et al.
  Pubblicazione: (2025)
• Efficient Diffusion Training through Parallelization with Truncated Karhunen-Loève Expansion
  di: Ren, Yumeng, et al.
  Pubblicazione: (2025)
• Fine-Grained Open-Vocabulary Object Detection with Fined-Grained Prompts: Task, Dataset and Benchmark
  di: Liu, Ying, et al.
  Pubblicazione: (2025)
• Universal Adversarial Perturbations for Vision-Language Pre-trained Models
  di: Zhang, Peng-Fei, et al.
  Pubblicazione: (2024)
• Visual Language Models show widespread visual deficits on neuropsychological tests
  di: Tangtartharakul, Gene, et al.
  Pubblicazione: (2025)