DND_HEADER = """
| Project Page | Github | Paper | Twitter/X |
""" 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 in this demo and are looking for sponsors to support the online version. Please refer to our official repo to enjoy the entire process of DnD! If you find our work helpful, please cite the following:" 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} } """