1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.CL2026★ 1 cited
Gemma 4 Technical Report
Gemma Team, Sherif El Abd, Vaibhav Aggarwal +320
We introduce Gemma 4, a new generation of open-weight, natively multimodal language models in the Gemma model family. Designed to advance compute efficiency and reasoning, the Gemm…
cs.CV2025
What Do You See? Enhancing Zero-Shot Image Classification with Multimodal Large Language Models
Abdelrahman Abdelhamed, Mahmoud Afifi, Alec Go
Large language models (LLMs) have been effectively used for many computer vision tasks, including image classification. In this paper, we present a simple yet effective approach fo…
cs.CL2025
Privacy-preserved LLM Cascade via CoT-enhanced Policy Learning
Kai Zhang, Congchao Wang, Liqian Peng +2
Large Language Models (LLMs) have gained significant attention in on-device applications due to their remarkable performance across real-world tasks. However, on-device LLMs often…