Fu, Deqing

8 publications

ICLR 2025 DeLLMa: Decision Making Under Uncertainty with Large Language Models Ollie Liu, Deqing Fu, Dani Yogatama, Willie Neiswanger

ICLR 2025 TLDR: Token-Level Detective Reward Model for Large Vision Language Models Deqing Fu, Tong Xiao, Rui Wang, Wang Zhu, Pengchuan Zhang, Guan Pang, Robin Jia, Lawrence Chen

ICLR 2025 Transformers Learn Low Sensitivity Functions: Investigations and Implications Bhavya Vasudeva, Deqing Fu, Tianyi Zhou, Elliott Kau, Youqi Huang, Vatsal Sharan

NeurIPS 2025 VisualLens: Personalization Through Task-Agnostic Visual History Wang Bill Zhu, Deqing Fu, Kai Sun, Yi Lu, Zhaojiang Lin, Seungwhan Moon, Kanika Narang, Mustafa Canim, Yue Liu, Anuj Kumar, Xin Luna Dong

NeurIPS 2024 Pre-Trained Large Language Models Use Fourier Features to Compute Addition Tianyi Zhou, Deqing Fu, Vatsal Sharan, Robin Jia

NeurIPS 2024 Transformers Learn to Achieve Second-Order Convergence Rates for In-Context Linear Regression Deqing Fu, Tian-Qi Chen, Robin Jia, Vatsal Sharan

NeurIPSW 2023 Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Models Deqing Fu, Tianqi Chen, Robin Jia, Vatsal Sharan

ICCV 2021 Harnessing the Conditioning Sensorium for Improved Image Translation Cooper Nederhood, Nicholas Kolkin, Deqing Fu, Jason Salavon