Continual Pre-training of Language Models Z Ke, Y Shao, H Lin, T Konishi, G Kim, B Liu The Eleventh International Conference on Learning Representations (ICLR 2023), 2023 | 121 | 2023 |
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, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 79 | 2024 |
Continual Training of Language Models for Few-Shot Learning Z Ke, H Lin, Y Shao, H Xu, L Shu, B Liu Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 36 | 2022 |
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 | 31 | 2024 |
Adapting a Language Model While Preserving its General Knowledge Z Ke, Y Shao, H Lin, H Xu, L Shu, B Liu Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2023 | 21 | 2023 |
Mcu: A task-centric framework for open-ended agent evaluation in minecraft H Lin, Z Wang, J Ma, Y Liang arXiv preprint arXiv:2310.08367, 2023 | 16 | 2023 |
Class Incremental Learning via Likelihood Ratio Based Task Prediction H Lin, Y Shao, W Qian, N Pan, Y Guo, B Liu The Twelfth International Conference on Learning Representations (ICLR 2024), 2023 | 12 | 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 The Forty-first International Conference on Machine Learning (ICML 2024), 2024 | 10 | 2024 |
Cmg: A class-mixed generation approach to out-of-distribution detection M Wang, Y Shao, H Lin, W Hu, B Liu Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022 | 9 | 2022 |
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 | 7* | 2024 |
FLatS: Principled Out-of-Distribution Detection with Feature-Based Likelihood Ratio Score H Lin, Y Gu The 2023 Conference on Empirical Methods in Natural Language Processing …, 2023 | 6 | 2023 |
Tfg: Unified training-free guidance for diffusion models H Ye, H Lin, J Han, M Xu, S Liu, Y Liang, J Ma, J Zou, S Ermon arXiv preprint arXiv:2409.15761, 2024 | 4 | 2024 |
TFG-Flow: Training-free Guidance in Multimodal Generative Flow H Lin, S Li, H Ye, Y Yang, S Ermon, Y Liang, J Ma arXiv preprint arXiv:2501.14216, 2025 | | 2025 |
A data-driven group retrosynthesis planning model inspired by neurosymbolic programming X Zhang, H Lin, M Zhang, Y Zhou, J Ma Nature Communications 16 (1), 192, 2025 | | 2025 |
Peptide Design through Binding Interface Mimicry X Kong, R Jiao, H Lin, R Guo, W Huang, WY Ma, Z Wang, Y Liu, J Ma bioRxiv, 2025.01. 21.634006, 2025 | | 2025 |
GROOT-2: Weakly Supervised Multi-Modal Instruction Following Agents S Cai, B Zhang, Z Wang, H Lin, X Ma, A Liu, Y Liang arXiv preprint arXiv:2412.10410, 2024 | | 2024 |
Optimizing Latent Goal by Learning from Trajectory Preference G Zhao, K Lian, H Lin, H Fu, Q Fu, S Cai, Z Wang, Y Liang arXiv preprint arXiv:2412.02125, 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 |