| Describe, Explain, Plan and Select: Interactive Planning with LLMs Enables Open-world Multi-task Agents Z Wang, S Cai, G Chen, A Liu, X Ma, Y Liang Neural Information Processing Systems (NeurIPS), 2023 | 280* | 2023 |
| ProAgent: building proactive cooperative agents with large language models C Zhang, K Yang, S Hu, Z Wang, G Li, Y Sun, C Zhang, Z Zhang, A Liu, ... Proceedings of the AAAI Conference on Artificial Intelligence, Oral, 2024 | 50* | 2024 |
| JARVIS-1: Open-world Multi-task Agents with Memory-Augmented Multimodal Language Models Z Wang, S Cai, A Liu, Y Jin, J Hou, B Zhang, H Lin, Z He, Z Zheng, Y Yang, ... arXiv preprint arXiv:2311.05997, 2023 | 45 | 2023 |
| Open-world Multi-task Control Through Goal-aware Representation Learning and Adaptive Horizon Prediction S Cai, Z Wang, X Ma, A Liu, Y Liang Computer Vision and Pattern Recognition (CVPR), 2023 | 27 | 2023 |
| Exploring large language model based intelligent agents: Definitions, methods, and prospects Y Cheng, C Zhang, Z Zhang, X Meng, S Hong, W Li, Z Wang, Z Wang, ... arXiv preprint arXiv:2401.03428, 2024 | 26 | 2024 |
| GROOT: Learning to Follow Instructions by Watching Gameplay Videos S Cai, B Zhang, Z Wang, X Ma, A Liu, Y Liang International Conference on Learning Representations (ICLR), Spotlight (Top-5%), 2023 | 17 | 2023 |
| RAT: Retrieval augmented thoughts elicit context-aware reasoning in long-horizon generation Z Wang, A Liu, H Lin, J Li, X Ma, Y Liang arXiv preprint arXiv:2403.05313, 2024 | 12 | 2024 |
| Local Representation is Not Enough: Soft Point-Wise Transformer for Descriptor and Detector of Local Features Z Wang, X Li, Z Li International Joint Conferences on Artificial Intelligence (IJCAI), 2021 | 10 | 2021 |
| MCU: A Task-centric Framework for Open-ended Agent Evaluation in Minecraft H Lin, Z Wang, J Ma, Y Liang Workshop on Agent Learning in Open-Endedness (ALOE) at NeurIPS 2023, 2023 | 8 | 2023 |
| Selecting large language model to fine-tune via rectified scaling law H Lin, B Huang, H Ye, Q Chen, Z Wang, S Li, J Ma, X Wan, J Zou, Y Liang International Conference on Machine Learning (ICML), 2024 | 6 | 2024 |
| Graph-based Contrastive Learning for Description and Detection of Local Features Z Wang, Z Li, X Li, W Chen, X Liu IEEE Transactions on Neural Networks and Learning Systems, 2022 | 6 | 2022 |
| Learning Transformation-Predictive Representations for Detection and Description of Local Features Z Wang, C Wu, Y Yang, Z Li Computer Vision and Pattern Recognition (CVPR), 2023 | 4 | 2023 |
| OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents Z Wang, S Cai, Z Mu, H Lin, C Zhang, X Liu, Q Li, A Liu, X Ma, Y Liang arXiv preprint arXiv:2407.00114, 2024 | | 2024 |
| CLoG: Benchmarking Continual Learning of Image Generation Models H Zhang, J Zhou, H Lin, H Ye, J Zhu, Z Wang, L Gao, Y Wang, Y Liang arXiv preprint arXiv:2406.04584, 2024 | | 2024 |
| GROOT-1.5: Learning to Follow Multi-Modal Instructions from Weak Supervision S Cai, B Zhang, Z Wang, X Ma, A Liu, Y Liang Multi-modal Foundation Model meets Embodied AI Workshop@ ICML2024, 0 | | |
Yitao LiangPeking UniversityVerified email at pku.edu.cn
