Aaron Xuxiang Tian

According to our database, Aaron Xuxiang Tian authored at least 9 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2025

Measuring Harmfulness of Computer-Using Agents.

Aaron Xuxiang Tian, Ruofan Zhang, Janet Tang, Jiaxin Wen

CoRR, August, 2025

PARA: Parameter-Efficient Fine-tuning with Prompt Aware Representation Adjustment.

Zequan Liu, Yi Zhao, Ming Tan, Wei Zhu, Aaron Xuxiang Tian

CoRR, February, 2025

FreqTS: Frequency-Aware Token Selection for Accelerating Diffusion Models.

Xinye Yang, Yuxin Yang, Haoran Pang, Aaron Xuxiang Tian, Luking Li

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

IAPT: Instruction-Aware Prompt Tuning for Large Language Models.

Wei Zhu, Aaron Xuxiang Tian, Congrui Yin, Yuan Ni, Xiaoling Wang, Guotong Xie

CoRR, 2024

NGM-SLAM: Gaussian Splatting SLAM with Radiance Field Submap.

Mingrui Li, Jingwei Huang, Lei Sun, Aaron Xuxiang Tian, Tianchen Deng, Hongyu Wang

CoRR, 2024

WcDT: World-centric Diffusion Transformer for Traffic Scene Generation.

Chen Yang, Aaron Xuxiang Tian, Dong Chen, Tianyu Shi, Arsalan Heydarian

CoRR, 2024

FanLoRA: Fantastic LoRAs and Where to Find Them in Large Language Model Fine-tuning.

Aaron Xuxiang Tian, Yi Zhao, Congrui Yin, Wei Zhu, Xing Tian, Yi Ge

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

PARA: Parameter-Efficient Fine-tuning with Prompt-Aware Representation Adjustment.

Zequan Liu, Yi Zhao, Ming Tan, Wei Zhu, Aaron Xuxiang Tian

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

IAPT: Instance-Aware Prompt Tuning for Large Language Models.

Wei Zhu, Aaron Xuxiang Tian, Congrui Yin, Yuan Ni, Xiaoling Wang, Guotong Xie

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024