欢迎来到 PaperHub！这是 Lab4AI-Hub 社区的算法复现库，致力于提供高质量的AI算法复现。
我们热烈欢迎每一位对AI充满热情的你加入我们的贡献者行列！我们为您设计了一套清晰、标准化的协作流程，并提供丰厚的算力奖励。
这是【必做之事】！请首先仔细阅读我们详细的贡献者指南，它将告诉您所有流程细节、复现标准和奖励规则。 |
您可以从我们的待复现清单中选择课题，也可以推荐您自己感兴趣的论文。无论哪种方式，都需下载并填写《2-论文筛选表》。 |
准备好填写完整的表格后，请前往我们的 Issue区，选择对应的模板，提交您的正式申请，开启您的复现之旅！ |
| 论文名称 & 作者 | 会议来源 & 年份 | 论文链接 | 前往平台体验 |
|---|---|---|---|
| Attention Is All You Need Ashish Vaswani, et al. |
NeurIPS 2017 | 📄 arXiv | ➡️ 立即体验 |
| Can We Get Rid of Handcrafted Feature Extractors? Lei Su, et al. |
AAAI 2025 | 📄 arXiv | ➡️ 立即体验 |
| MOMENT: A Family of Open Time-series Foundation Models Mononito Goswami, et al. |
ICML 2025 | 📄 arXiv | ➡️ 立即体验 |
| Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data Kashun Shum,et al. |
EMNLP 2023 | 📄 arXiv | ➡️ 立即体验 |
| Chronos: Learning the Language of Time Series Abdul Fatir Ansari, et al. |
other 2024 | 📄 arXiv | ➡️ 立即体验 |
| Generative Photography: Scene-Consistent Camera Control for Realistic Text-to-Image Synthesis Yu Yuan, et al. |
CVPR 2025 | 📄 arXiv | ➡️ 立即体验 |
| PhotoDoodle: Learning Artistic Image Editing from Few-Shot Pairwise Data Shijie Huang, et al. |
ICCV 2025 | 📄 arXiv | ➡️ 立即体验 |
| Self-Instruct: Aligning Language Models with Self-Generated Instructions Yizhong Wang, et al. |
ACL 2023 | 📄 arXiv | ➡️ 立即体验 |
| RobustSAM: Segment Anything Robustly on Degraded Images Wei-Ting Chen, et al. |
CVPR 2024 | 📄 arXiv | ➡️ 立即体验 |
| Side Adapter Network for Open-Vocabulary Semantic Segmentation Mengde Xu, et al. |
CVPR 2023 | 📄 arXiv | ➡️ 立即体验 |
| Improving day-ahead Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal Context Oussama Boussif, et al. |
NIPS 2023 | 📄 arXiv | ➡️ 立即体验 |
| Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting Kashif Rasul, et al. |
other 2023 | 📄 arXiv | ➡️ 立即体验 |
| CoTracker3: Simpler and Better Point Tracking by Pseudo-Labelling Real Videos Lei Nikita Karaev, et al. |
CVPR 2024 | 📄 arXiv | ➡️ 立即体验 |
| Unified Training of Universal Time Series Forecasting Transformers Gerald Woo, et al. |
ICML 2024 | 📄 arXiv | ➡️ 立即体验 |
| A decoder-only foundation model for time-series forecasting Abhimanyu Das, et al. |
ICML 2024 | 📄 arXiv | ➡️ 立即体验 |
| Timer: Generative Pre-trained Transformers Are Large Time Series Models Yong Liu, et al. |
ICML 2024 | 📄 arXiv | ➡️ 立即体验 |
| LamRA: Large Multimodal Model as Your Advanced Retrieval Assistant Yikun Liu, et al. |
other 2024 | 📄 arXiv | ➡️ 立即体验 |
我们已经筛选并整理了一份详细的待复现论文清单。这不仅是我们的工作计划，更是我们邀请您参与共建的蓝图。
如果您对路线图中的项目感兴趣，或有新的论文推荐，请在我们的 Issue 列表 中发起讨论。