Deqing Fu

According to our database, Deqing Fu authored at least 18 papers between 2021 and 2025.

Collaborative distances:

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

2025

Zebra-CoT: A Dataset for Interleaved Vision Language Reasoning.

Ang Li, Charles Wang, Kaiyu Yue, Zikui Cai, Ollie Liu, Deqing Fu, Peng Guo, Wang Bill Zhu, Vatsal Sharan, Robin Jia, Willie Neiswanger, Furong Huang, Tom Goldstein, Micah Goldblum

CoRR, July, 2025

Resa: Transparent Reasoning Models via SAEs.

Shangshang Wang, Julian Asilis, Ömer Faruk Akgül, Enes Burak Bilgin, Ollie Liu, Deqing Fu, Willie Neiswanger

CoRR, June, 2025

Textual Steering Vectors Can Improve Visual Understanding in Multimodal Large Language Models.

Woody Haosheng Gan, Deqing Fu, Julian Asilis, Ollie Liu, Dani Yogatama, Vatsal Sharan, Robin Jia, Willie Neiswanger

CoRR, May, 2025

FoNE: Precise Single-Token Number Embeddings via Fourier Features.

Tianyi Zhou, Deqing Fu, Mahdi Soltanolkotabi, Robin Jia, Vatsal Sharan

CoRR, February, 2025

DreamSync: Aligning Text-to-Image Generation with Image Understanding Feedback.

Jiao Sun, Deqing Fu, Yushi Hu, Su Wang, Royi Rassin, Da-Cheng Juan, Dana Alon, Charles Herrmann, Sjoerd van Steenkiste, Ranjay Krishna, Cyrus Rashtchian

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Transformers Learn Low Sensitivity Functions: Investigations and Implications.

Bhavya Vasudeva, Deqing Fu, Tianyi Zhou, Elliott Kau, Youqi Huang, Vatsal Sharan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

DeLLMa: Decision Making Under Uncertainty with Large Language Models.

Ollie Liu, Deqing Fu, Dani Yogatama, Willie Neiswanger

Proceedings of the Thirteenth International Conference on Learning Representations, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

VisualLens: Personalization through 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

CoRR, 2024

IsoBench: Benchmarking Multimodal Foundation Models on Isomorphic Representations.

Deqing Fu, Ghazal Khalighinejad, Ollie Liu, Bhuwan Dhingra, Dani Yogatama, Robin Jia, Willie Neiswanger

CoRR, 2024

Simplicity Bias of Transformers to Learn Low Sensitivity Functions.

Bhavya Vasudeva, Deqing Fu, Tianyi Zhou, Elliott Kau, Youqi Huang, Vatsal Sharan

CoRR, 2024

DeLLMa: A Framework for Decision Making Under Uncertainty with Large Language Models.

Ollie Liu, Deqing Fu, Dani Yogatama, Willie Neiswanger

CoRR, 2024

Pre-trained Large Language Models Use Fourier Features to Compute Addition.

Tianyi Zhou, Deqing Fu, Vatsal Sharan, Robin Jia

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Transformers Learn to Achieve Second-Order Convergence Rates for In-Context Linear Regression.

Deqing Fu, Tian-Qi Chen, Robin Jia, Vatsal Sharan

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Models.

Deqing Fu, Tian-Qi Chen, Robin Jia, Vatsal Sharan

CoRR, 2023

SCENE: Self-Labeled Counterfactuals for Extrapolating to Negative Examples.

Deqing Fu, Ameya Godbole, Robin Jia

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Topological Regularization for Dense Prediction.

Deqing Fu, Bradley J. Nelson

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2021

Harnessing the Conditioning Sensorium for Improved Image Translation.

Cooper Nederhood, Nicholas I. Kolkin, Deqing Fu, Jason Salavon

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021