Jun 18, 2024 · Li, “Prompt, generate, then cache: Cascade of foundation models makes strong few-shot learners,” in Proceedings of the IEEE/CVF Conference on Computer ...

Jul 3, 2024 · Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners ... Prompts: Zero-shot VQA with Frozen Large Language Models, CVPR ...

Jul 5, 2024 · This includes strategies such as few-shot prompt learning [7 ... Prompt, generate, then cache: Cascade of foundation models makes strong few-shot learners.

Jun 28, 2024 · Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners ... Specifically, CaFo works by 'Prompt, Generate, then Cache'.

Jul 5, 2024 · Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners, ... Multi-organ Segmentation via Co-training Weight-averaged Models ...

Jun 21, 2024 · Prompt, generate, then cache: Cascade of foundation models makes strong few-shot learners. In Proceedings of the IEEE/CVF Conference on Computer Vision and ...

Jun 16, 2024 · Prompt, generate, then cache: Cascade of foundation models makes strong few-shot learners. In Proceedings of the IEEE/CVF. Conference on Computer Vision and ...

7 days ago · One Meta-tuned Transformer is What You Need for Few-shot Learning ... models obtain lower perplexity and stronger in-context learning performance than baselines.

Jul 4, 2024 · Prompting Large Language Models with Speech Recognition Abilities. Selective Annotation Makes Language Models Better Few-Shot Learners. Using Captum to ...