Autogen: Enabling next-gen LLM applications via multi-agent conversations Q Wu, G Bansal, J Zhang, Y Wu, B Li, E Zhu, L Jiang, X Zhang, S Zhang, ... First Conference on Language Modeling, 2024 | 775* | 2024 |
Moderate coreset: A universal method of data selection for real-world data-efficient deep learning X Xia, J Liu, J Yu, X Shen, B Han, T Liu The Eleventh International Conference on Learning Representations, 2022 | 83 | 2022 |
IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models S Zhang, X Xia, Z Wang, LH Chen, J Liu, Q Wu, T Liu ICLR 2024, 2023 | 28 | 2023 |
Embodied llm agents learn to cooperate in organized teams X Guo, K Huang, J Liu, W Fan, N Vélez, Q Wu, H Wang, TL Griffiths, ... NeurIPS 2024 Workshop LanGame, 2024 | 27 | 2024 |
Offline Training of Language Model Agents with Functions as Learnable Weights S Zhang, J Zhang, J Liu, L Song, C Wang, R Krishna, Q Wu ICML 2024, 0 | 24* | |
Refined coreset selection: Towards minimal coreset size under model performance constraints X Xia, J Liu, S Zhang, Q Wu, T Liu ICML 2024, 2023 | 11* | 2023 |
Adaptive In-conversation Team Building for Language Model Agents L Song*, J Liu*, J Zhang, S Zhang, A Luo, S Wang, Q Wu, C Wang arXiv preprint arXiv:2405.19425, 2024 | 8 | 2024 |
Memory-Augmented Agent Training for Business Document Understanding J Liu, Y Zeng, M Højmark-Bertelsen, MN Gadeberg, H Wang, Q Wu arXiv preprint arXiv:2412.15274, 2024 | | 2024 |
RLAD: A Reliable Hippo-guided Multi-task Model for Alzheimer's Disease Diagnosis Z Lei*, W Zhu*, J Liu*, C Hua, J Li, SAA Shah, L Zhang, M Bennamoun, ... IEEE Journal of Biomedical and Health Informatics, 2024 | | 2024 |