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2020 – today
- 2024
[c6]Ruikang Liu, Haoli Bai, Haokun Lin, Yuening Li, Han Gao, Zhengzhuo Xu, Lu Hou, Jun Yao, Chun Yuan:
IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact. ACL (Findings) 2024: 7716-7741- [c5]Haokun Lin, Haoli Bai, Zhili Liu, Lu Hou, Muyi Sun, Linqi Song, Ying Wei, Zhenan Surr:
MoPE-CLIP: Structured Pruning for Efficient Vision-Language Models with Module-Wise Pruning Error Metric. CVPR 2024: 27360-27370 - [c4]Mingjie Li, Haokun Lin, Liang Qiu, Xiaodan Liang, Ling Chen, Abdulmotaleb Elsaddik, Xiaojun Chang:
Contrastive Learning with Counterfactual Explanations for Radiology Report Generation. ECCV (43) 2024: 162-180 - [c3]Renrui Zhang, Dongzhi Jiang, Yichi Zhang, Haokun Lin, Ziyu Guo, Pengshuo Qiu, Aojun Zhou, Pan Lu, Kai-Wei Chang, Yu Qiao, Peng Gao, Hongsheng Li:
MATHVERSE: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems? ECCV (8) 2024: 169-186 - [c2]Yingtao Zhang, Haoli Bai, Haokun Lin, Jialin Zhao, Lu Hou, Carlo Vittorio Cannistraci:
Plug-and-Play: An Efficient Post-training Pruning Method for Large Language Models. ICLR 2024 - [i8]Ruikang Liu, Haoli Bai, Haokun Lin, Yuening Li, Han Gao, Zhengzhuo Xu, Lu Hou, Jun Yao, Chun Yuan:
IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact. CoRR abs/2403.01241 (2024) - [i7]Haokun Lin, Haoli Bai, Zhili Liu, Lu Hou, Muyi Sun, Linqi Song, Ying Wei, Zhenan Sun:
MoPE-CLIP: Structured Pruning for Efficient Vision-Language Models with Module-wise Pruning Error Metric. CoRR abs/2403.07839 (2024) - [i6]Renrui Zhang, Dongzhi Jiang, Yichi Zhang, Haokun Lin, Ziyu Guo, Pengshuo Qiu, Aojun Zhou, Pan Lu, Kai-Wei Chang, Peng Gao, Hongsheng Li:
MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems? CoRR abs/2403.14624 (2024) - [i5]Haokun Lin, Haobo Xu, Yichen Wu, Jingzhi Cui, Yingtao Zhang, Linzhan Mou, Linqi Song, Zhenan Sun, Ying Wei:
Rotation and Permutation for Advanced Outlier Management and Efficient Quantization of LLMs. CoRR abs/2406.01721 (2024) - [i4]Sukmin Yun, Haokun Lin, Rusiru Thushara, Mohammad Qazim Bhat, Yongxin Wang, Zutao Jiang, Mingkai Deng, Jinhong Wang, Tianhua Tao, Junbo Li, Haonan Li, Preslav Nakov, Timothy Baldwin, Zhengzhong Liu, Eric P. Xing, Xiaodan Liang, Zhiqiang Shen:
Web2Code: A Large-scale Webpage-to-Code Dataset and Evaluation Framework for Multimodal LLMs. CoRR abs/2406.20098 (2024) - [i3]Mingjie Li, Haokun Lin, Liang Qiu, Xiaodan Liang, Ling Chen, Abdulmotaleb Elsaddik, Xiaojun Chang:
Contrastive Learning with Counterfactual Explanations for Radiology Report Generation. CoRR abs/2407.14474 (2024) - 2023
- [j2]Ji Sun
, Jiajun Liu, Miao Miao, Haokun Lin:
Research on Parameter Optimization Method of Sliding Mode Controller for the Grid-Connected Composite Device Based on IMFO Algorithm. Sensors 23(1): 149 (2023) - [j1]Jiajun Liu, Chenjing Li, Yue Liu, Ji Sun, Haokun Lin:
Single Line-to-Ground Fault Type Multilevel Classification in Distribution Network Using Realistic Recorded Waveform. Sensors 23(21): 8948 (2023) - [c1]Mingjie Li, Bingqian Lin, Zicong Chen, Haokun Lin, Xiaodan Liang, Xiaojun Chang:
Dynamic Graph Enhanced Contrastive Learning for Chest X-Ray Report Generation. CVPR 2023: 3334-3343 - [i2]Mingjie Li, Bingqian Lin, Zicong Chen, Haokun Lin, Xiaodan Liang, Xiaojun Chang:
Dynamic Graph Enhanced Contrastive Learning for Chest X-ray Report Generation. CoRR abs/2303.10323 (2023) - [i1]Bingqian Lin, Zicong Chen, Mingjie Li, Haokun Lin, Hang Xu, Yi Zhu, Jianzhuang Liu, Wenjia Cai, Lei Yang, Shen Zhao, Chenfei Wu, Ling Chen, Xiaojun Chang, Yi Yang, Lei Xing, Xiaodan Liang:
Towards Medical Artificial General Intelligence via Knowledge-Enhanced Multimodal Pretraining. CoRR abs/2304.14204 (2023)
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