Lin, Haowei

16 publications

AISTATS 2025 Efficient and Asymptotically Unbiased Constrained Decoding for Large Language Models Haotian Ye, Himanshu Jain, Chong You, Ananda Theertha Suresh, Haowei Lin, James Zou, Felix Yu

ICLR 2025 GROOT-2: Weakly Supervised Multimodal Instruction Following Agents Shaofei Cai, Bowei Zhang, Zihao Wang, Haowei Lin, Xiaojian Ma, Anji Liu, Yitao Liang

ICLR 2025 Integrating Protein Dynamics into Structure-Based Drug Design via Full-Atom Stochastic Flows Xiangxin Zhou, Yi Xiao, Haowei Lin, Xinheng He, Jiaqi Guan, Yang Wang, Qiang Liu, Feng Zhou, Liang Wang, Jianzhu Ma

ICML 2025 MCU: An Evaluation Framework for Open-Ended Game Agents Xinyue Zheng, Haowei Lin, Kaichen He, Zihao Wang, Qiang Fu, Haobo Fu, Zilong Zheng, Yitao Liang

ICLR 2025 TFG-Flow: Training-Free Guidance in Multimodal Generative Flow Haowei Lin, Shanda Li, Haotian Ye, Yiming Yang, Stefano Ermon, Yitao Liang, Jianzhu Ma

NeurIPSW 2024 CLoG: Benchmarking Continual Learning of Image Generation Models Haotian Zhang, Junting Zhou, Haowei Lin, Hang Ye, Jianhua Zhu, Zihao Wang, Liangcai Gao, Yizhou Wang, Yitao Liang

ICLR 2024 Class Incremental Learning via Likelihood Ratio Based Task Prediction Haowei Lin, Yijia Shao, Weinan Qian, Ningxin Pan, Yiduo Guo, Bing Liu

NeurIPS 2024 OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents Zihao Wang, Shaofei Cai, Zhancun Mu, Haowei Lin, Ceyao Zhang, Xuejie Liu, Qing Li, Anji Liu, Xiaojian Ma, Yitao Liang

ICMLW 2024 OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents Zihao Wang, Shaofei Cai, Zhancun Mu, Haowei Lin, Ceyao Zhang, Xuejie Liu, Qing Li, Anji Liu, Xiaojian Ma, Yitao Liang

NeurIPSW 2024 RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning and Verification in Long-Horizon Generation Zihao Wang, Anji Liu, Haowei Lin, Jiaqi Li, Xiaojian Ma, Yitao Liang

ICML 2024 Selecting Large Language Model to Fine-Tune via Rectified Scaling Law Haowei Lin, Baizhou Huang, Haotian Ye, Qinyu Chen, Zihao Wang, Sujian Li, Jianzhu Ma, Xiaojun Wan, James Zou, Yitao Liang

ICLRW 2024 Selecting Large Language Model to Fine-Tune via Rectified Scaling Law Haowei Lin, Baizhou Huang, Haotian Ye, Qinyu Chen, Zihao Wang, Sujian Li, Jianzhu Ma, Xiaojun Wan, James Zou, Yitao Liang

NeurIPS 2024 TFG: Unified Training-Free Guidance for Diffusion Models Haotian Ye, Haowei Lin, Jiaqi Han, Minkai Xu, Sheng Liu, Yitao Liang, Jianzhu Ma, James Zou, Stefano Ermon

ICLR 2023 Continual Pre-Training of Language Models Zixuan Ke, Yijia Shao, Haowei Lin, Tatsuya Konishi, Gyuhak Kim, Bing Liu

NeurIPSW 2023 MCU: A Task-Centric Framework for Open-Ended Agent Evaluation in Minecraft Haowei Lin, Zihao Wang, Jianzhu Ma, Yitao Liang

ECML-PKDD 2022 CMG: A Class-Mixed Generation Approach to Out-of-Distribution Detection Mengyu Wang, Yijia Shao, Haowei Lin, Wenpeng Hu, Bing Liu