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Haowei Lin
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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
1212023
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
802024
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
362022
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
322024
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
212023
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
162023
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
122023
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
102024
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
92022
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
62023
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
52024
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
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