| 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 | 72 | 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, ... arXiv preprint arXiv:2311.05997, 2023 | 35 | 2023 |
| 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 | 25 | 2022 |
| 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 | 13 | 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 | 7 | 2023 |
| 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 | 7 | 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 | 5 | 2024 |
| 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 | 5 | 2024 |
| 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 | 4 | 2023 |
| 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 | 3 | 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 |
Bing LiuDistinguished Professor, University of Illinois at ChicagoVerified email at uic.edu
