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Conference and Workshop Papers
- 2024
[c3]Wei Zhu, Aaron Xuxiang Tian, Congrui Yin, Yuan Ni, Xiaoling Wang, Guotong Xie:
IAPT: Instance-Aware Prompt Tuning for Large Language Models. ACL (1) 2024: 14285-14304- [c2]Aaron Xuxiang Tian, Yi Zhao, Congrui Yin, Wei Zhu, Xing Tian, Yi Ge:
FanLoRA: Fantastic LoRAs and Where to Find Them in Large Language Model Fine-tuning. EMNLP (Industry Track) 2024: 515-528 - [c1]Zequan Liu, Yi Zhao, Ming Tan, Wei Zhu, Aaron Xuxiang Tian:
PARA: Parameter-Efficient Fine-tuning with Prompt-Aware Representation Adjustment. EMNLP (Industry Track) 2024: 728-737
Informal and Other Publications
- 2024
- [i3]Chen Yang, Aaron Xuxiang Tian, Dong Chen, Tianyu Shi, Arsalan Heydarian:
WcDT: World-centric Diffusion Transformer for Traffic Scene Generation. CoRR abs/2404.02082 (2024) - [i2]Mingrui Li, Jingwei Huang, Lei Sun, Aaron Xuxiang Tian, Tianchen Deng, Hongyu Wang:
NGM-SLAM: Gaussian Splatting SLAM with Radiance Field Submap. CoRR abs/2405.05702 (2024) - [i1]Wei Zhu, Aaron Xuxiang Tian, Congrui Yin, Yuan Ni, Xiaoling Wang, Guotong Xie:
IAPT: Instruction-Aware Prompt Tuning for Large Language Models. CoRR abs/2405.18203 (2024)
Coauthor Index
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