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2020 – today
- 2024
[c9]Liang Chen, Yichi Zhang, Shuhuai Ren, Haozhe Zhao, Zefan Cai, Yuchi Wang, Peiyi Wang, Xiangdi Meng, Tianyu Liu, Baobao Chang:
PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain. ACL (Findings) 2024: 1086-1104- [c8]Shuzheng Si, Helan Hu, Haozhe Zhao, Shuang Zeng, Kaikai An, Zefan Cai, Baobao Chang:
Improving the Robustness of Distantly-Supervised Named Entity Recognition via Uncertainty-Aware Teacher Learning and Student-Student Collaborative Learning. ACL (Findings) 2024: 5533-5546 - [c7]Liang Chen, Haozhe Zhao, Tianyu Liu, Shuai Bai, Junyang Lin, Chang Zhou, Baobao Chang:
An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models. ECCV (81) 2024: 19-35 - [c6]Haozhe Zhao, Zefan Cai, Shuzheng Si, Xiaojian Ma, Kaikai An, Liang Chen, Zixuan Liu, Sheng Wang, Wenjuan Han, Baobao Chang:
MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning. ICLR 2024 - [c5]Haozhe Zhao, Zefan Cai, Shuzheng Si, Liang Chen, Yufeng He, Kaikai An, Baobao Chang:
Mitigating Language-Level Performance Disparity in mPLMs via Teacher Language Selection and Cross-lingual Self-Distillation. NAACL-HLT 2024: 2893-2907 - [i12]Liang Chen, Yichi Zhang, Shuhuai Ren, Haozhe Zhao, Zefan Cai, Yuchi Wang, Peiyi Wang, Xiangdi Meng, Tianyu Liu, Baobao Chang:
PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain. CoRR abs/2402.15527 (2024) - [i11]Liang Chen, Haozhe Zhao, Tianyu Liu, Shuai Bai, Junyang Lin, Chang Zhou, Baobao Chang:
An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models. CoRR abs/2403.06764 (2024) - [i10]Haozhe Zhao, Zefan Cai, Shuzheng Si, Liang Chen, Yufeng He, Kaikai An, Baobao Chang:
Mitigating Language-Level Performance Disparity in mPLMs via Teacher Language Selection and Cross-lingual Self-Distillation. CoRR abs/2404.08491 (2024) - [i9]Jinsheng Huang, Liang Chen, Taian Guo, Fu Zeng, Yusheng Zhao, Bohan Wu, Ye Yuan, Haozhe Zhao, Zhihui Guo, Yichi Zhang, Jingyang Yuan, Wei Ju, Luchen Liu, Tianyu Liu, Baobao Chang, Ming Zhang:
MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation. CoRR abs/2407.00468 (2024) - [i8]Haozhe Zhao, Xiaojian Ma, Liang Chen, Shuzheng Si, Rujie Wu, Kaikai An, Peiyu Yu, Minjia Zhang, Qing Li, Baobao Chang:
UltraEdit: Instruction-based Fine-Grained Image Editing at Scale. CoRR abs/2407.05282 (2024) - [i7]Kaikai An, Shuzheng Si, Helan Hu, Haozhe Zhao, Yuchi Wang, Qingyan Guo, Baobao Chang:
Rethinking Semantic Parsing for Large Language Models: Enhancing LLM Performance with Semantic Hints. CoRR abs/2409.14469 (2024) - [i6]Liang Chen, Sinan Tan, Zefan Cai, Weichu Xie, Haozhe Zhao, Yichi Zhang, Junyang Lin, Jinze Bai, Tianyu Liu, Baobao Chang:
A Spark of Vision-Language Intelligence: 2-Dimensional Autoregressive Transformer for Efficient Finegrained Image Generation. CoRR abs/2410.01912 (2024) - 2023
- [c4]Wenjuan Han
, Haozhe Zhao, Zefan Cai:
Empowering MultiModal Models' In-Context Learning Ability through Large Language Models. ACM TUR-C 2023: 9-10 - [c3]Kaikai An, Ce Zheng, Bofei Gao, Haozhe Zhao, Baobao Chang:
Coarse-to-Fine Dual Encoders are Better Frame Identification Learners. EMNLP (Findings) 2023: 13455-13466 - [c2]Lewen Wang, Haozhe Zhao, Cunguang Feng, Weiqing Liu, Congrui Huang, Marco Santoni, Manuel Cristofaro, Paola Jafrancesco, Jiang Bian:
Removing Camouflage and Revealing Collusion: Leveraging Gang-crime Pattern in Fraudster Detection. KDD 2023: 5104-5115 - [i5]Haozhe Zhao, Zefan Cai, Shuzheng Si, Xiaojian Ma, Kaikai An, Liang Chen, Zixuan Liu, Sheng Wang, Wenjuan Han, Baobao Chang:
MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning. CoRR abs/2309.07915 (2023) - [i4]Liang Chen, Yichi Zhang, Shuhuai Ren, Haozhe Zhao, Zefan Cai, Yuchi Wang, Peiyi Wang, Tianyu Liu, Baobao Chang:
Towards End-to-End Embodied Decision Making via Multi-modal Large Language Model: Explorations with GPT4-Vision and Beyond. CoRR abs/2310.02071 (2023) - [i3]Kaikai An, Ce Zheng, Bofei Gao, Haozhe Zhao, Baobao Chang:
Coarse-to-Fine Dual Encoders are Better Frame Identification Learners. CoRR abs/2310.13316 (2023) - [i2]Helan Hu, Shuzheng Si, Haozhe Zhao, Shuang Zeng, Kaikai An, Zefan Cai, Baobao Chang:
Distantly-Supervised Named Entity Recognition with Uncertainty-aware Teacher Learning and Student-student Collaborative Learning. CoRR abs/2311.08010 (2023) - [i1]Yuliang Liu, Xiangru Tang, Zefan Cai, Junjie Lu, Yichi Zhang, Yanjun Shao, Zexuan Deng, Helan Hu, Zengxian Yang, Kaikai An, Ruijun Huang, Shuzheng Si, Sheng Chen, Haozhe Zhao, Zhengliang Li, Liang Chen, Yiming Zong, Yan Wang, Tianyu Liu, Zhiwei Jiang, Baobao Chang, Yujia Qin, Wangchunshu Zhou, Yilun Zhao, Arman Cohan, Mark Gerstein:
ML-Bench: Large Language Models Leverage Open-source Libraries for Machine Learning Tasks. CoRR abs/2311.09835 (2023) - 2021
- [c1]Haozhe Zhao, Guozheng Rao:
Traffic Accident Prediction Methods Based on Multi-factor Models. KSEM 2021: 41-52
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