DND_HEADER = """
Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights

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""" DND_INTRODUCTION = """ 🚀 Welcome to the Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights! > Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights is a zero-shot prompt-to-weights model that can generate a model from a prompt. - **Zero-Shot**: Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights can generate a model from a prompt without any training data. - **Prompt-to-Weights**: Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights can generate a model from a prompt. - **Easy-to-use**: Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights provides a unified interface for prompt-to-weights model generation. """ TASK_LIST = ["🧠 Commonsense Reasoning", "🔢 Math", "💻 Coding"] TASK_DATASET_LIST = { "🧠 Commonsense Reasoning": ["ARC-c", "OBQA"], "🔢 Math": ["GSM-8K"], "💻 Coding": ["HumanEval"], } EXAMPLE_LIST = ["Example 1", "Example 2", "Example 3", "Example 4", "Example 5"] TASK_PATH_MAPPING = { "🧠 Commonsense Reasoning": "common", "🔢 Math": "math", "💻 Coding": "coding", } DATASET_PATH_MAPPING = { "ARC-c": "arc_c", "OBQA": "obqa", "GSM-8K": "gsm8k", "HumanEval": "humaneval", } EXAMPLE_PATH_MAPPING = { "Example 1": "1", "Example 2": "2", "Example 3": "3", "Example 4": "4", "Example 5": "5", } COLUMN_NAMES = ["Prompt", "Pass@1", "Pass@5", "Pass@10", "Correctness"] DATA_TITLE_TYPE = ['markdown', 'number', 'number', 'number', 'markdown'] CITATION_BUTTON_LABEL = "NOTE: We only use preloaded samples. Copy the following snippet to cite these results" CITATION_BUTTON_TEXT = r""" @article{liang2025drag, title={Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights}, author={Liang, Zhiyuan and Tang, Dongwen and Zhou, Yuhao and Zhao, Xuanlei and Shi, Mingjia and Zhao, Wangbo and Li, Zekai and Wang, Peihao and Sch{\"u}rholt, Konstantin and Borth, Damian and others}, journal={arXiv preprint arXiv:2506.16406}, year={2025} } """