Gemma-3

'Gemma-3' is a benchmark dataset used to evaluate the performance of models in learning hierarchical visual concepts through multimodal tasks.

Papers using Gemma-3 (3)

Cascaded Sparse Autoencoders Learn Multi-Level Visual Concepts in Multimodal LLMs2026HALP: Detecting Hallucinations in Vision-Language Models without Generating a Single Token2026MASSV: Multimodal Adaptation and Self-Data Distillation for Speculative Decoding of Vision-Language Models2025