VISTA-Bench: Benchmarking Multilingual Image Translation with Image-Specific Rubrics
cs.CV, cs.AI
Submitted: 2026-09-29
Updated: 2026-09-29
Code: https://github.com/lvbotenbest/VISTA-BENCH
Terminology
Sources
- Aya 23: Open Weight Releases to Further Multilingual Progress
- Gemma 3 Technical Report
- Gemma 4 Technical Report
- Qwen3 Technical Report
- Rubric-as-Experts: Case-Specific MQM Rubrics for Translation Error Span Detection
- Hy-MT2: A Family of Fast, Efficient and Powerful Multilingual Translation Models in the Wild
Related papers
- Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
- AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
- Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
- MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
- TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
- A Survey on Efficient Vision-Language-Action Models