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Conference and Workshop Papers
- 2024
[c9]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- [c8]Kaikai An, Fangkai Yang, Junting Lu, Liqun Li, Zhixing Ren, Hao Huang, Lu Wang, Pu Zhao, Yu Kang, Hua Ding, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
Nissist: An Incident Mitigation Copilot based on Troubleshooting Guides. ECAI 2024: 4471-4474 - [c7]Tianyu He, Junliang Guo, Runyi Yu, Yuchi Wang, Jialiang Zhu, Kaikai An, Leyi Li, Xu Tan, Chunyu Wang, Han Hu, HsiangTao Wu, Sheng Zhao, Jiang Bian:
GAIA: Zero-shot Talking Avatar Generation. ICLR 2024 - [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 - [c4]Yuchi Wang, Shuhuai Ren, Rundong Gao, Linli Yao, Qingyan Guo, Kaikai An, Jianhong Bai, Xu Sun:
LaDiC: Are Diffusion Models Really Inferior to Autoregressive Counterparts for Image-to-Text Generation? NAACL-HLT 2024: 6699-6715 - 2023
- [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 - 2022
- [c2]Jun Guo, Jingjing Hu, Yuhua Lai, Kaikai An, Zhengxiao Zhang:
Vision Detection System Based on Mixed Recognition of Gesture and Speech. ICACT 2022: 348-353 - 2021
- [c1]Jun Guo, Jingjing Hu, Yuhua Lai, Kaikai An, Zhengxiao Zhang:
Vision Detection System Based on Mixed Recognition of Gesture and Speech. ICACT 2021: 348-353
Informal and Other Publications
- 2024
- [i13]Kaikai An, Fangkai Yang, Liqun Li, Zhixing Ren, Hao Huang, Lu Wang, Pu Zhao, Yu Kang, Hua Ding, Qingwei Lin, Saravan Rajmohan, Qi Zhang:
Nissist: An Incident Mitigation Copilot based on Troubleshooting Guides. CoRR abs/2402.17531 (2024) - [i12]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) - [i11]Yuchi Wang, Shuhuai Ren, Rundong Gao, Linli Yao, Qingyan Guo, Kaikai An, Jianhong Bai, Xu Sun:
LaDiC: Are Diffusion Models Really Inferior to Autoregressive Counterparts for Image-to-Text Generation? CoRR abs/2404.10763 (2024) - [i10]Kaikai An, Fangkai Yang, Liqun Li, Junting Lu, Sitao Cheng, Lu Wang, Pu Zhao, Lele Cao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented Generation. CoRR abs/2406.13372 (2024) - [i9]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) - [i8]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) - [i7]Shuzheng Si, Haozhe Zhao, Gang Chen, Yunshui Li, Kangyang Luo, Chuancheng Lv, Kaikai An, Fanchao Qi, Baobao Chang, Maosong Sun:
Selecting Influential Samples for Long Context Alignment via Homologous Models' Guidance and Contextual Awareness Measurement. CoRR abs/2410.15633 (2024) - 2023
- [i6]Xinyu Liu, Yan Ding, Kaikai An, Chunyang Xiao, Pranava Madhyastha, Tong Xiao, Jingbo Zhu:
Towards Robust Aspect-based Sentiment Analysis through Non-counterfactual Augmentations. CoRR abs/2306.13971 (2023) - [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]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) - [i3]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) - [i2]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) - [i1]Tianyu He, Junliang Guo, Runyi Yu, Yuchi Wang, Jialiang Zhu, Kaikai An, Leyi Li, Xu Tan, Chunyu Wang, Han Hu, HsiangTao Wu, Sheng Zhao, Jiang Bian:
GAIA: Zero-shot Talking Avatar Generation. CoRR abs/2311.15230 (2023)
Coauthor Index
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