Deqing Fu - RankMe

27 papers A* 7C 1Journal 18Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Are LLM Decisions Faithful to Verbal Confidence? CoRR Jiawei Wang, Yanfei Zhou, Siddartha Devic, Deqing Fu
2026	J	`jnl`	EPSVec: Efficient and Private Synthetic Data Generation via Dataset Vectors. CoRR Amin Banayeeanzade, Qingchuan Yang, Deqing Fu, Spencer Hong, Erin Babinsky, Alfy Samuel, Anoop Kumar, Robin Jia, Sai Praneeth Karimireddy
2025	A*	`conf`	DeLLMa: Decision Making Under Uncertainty with Large Language Models. ICLR Ollie Liu, Deqing Fu, Dani Yogatama, Willie Neiswanger
2025	—	`conf`	DreamSync: Aligning Text-to-Image Generation with Image Understanding Feedback. NAACL (Long Papers) Jiao Sun, Deqing Fu, Yushi Hu, Su Wang, Royi Rassin, Da-Cheng Juan, Dana Alon, Charles Herrmann, Sjoerd van Steenkiste, Ranjay Krishna, Cyrus Rashtchian
2025	J	`jnl`	FoNE: Precise Single-Token Number Embeddings via Fourier Features. CoRR Tianyi Zhou, Deqing Fu, Mahdi Soltanolkotabi, Robin Jia, Vatsal Sharan
2025	J	`jnl`	Resa: Transparent Reasoning Models via SAEs. CoRR Shangshang Wang, Julian Asilis, Ömer Faruk Akgül, Enes Burak Bilgin, Ollie Liu, Deqing Fu, Willie Neiswanger
2025	A*	`conf`	TLDR: Token-Level Detective Reward Model for Large Vision Language Models. ICLR Deqing Fu, Tong Xiao, Rui Wang, Wang Zhu, Pengchuan Zhang, Guan Pang, Robin Jia, Lawrence Chen
2025	J	`jnl`	Textual Steering Vectors Can Improve Visual Understanding in Multimodal Large Language Models. CoRR Woody Haosheng Gan, Deqing Fu, Julian Asilis, Ollie Liu, Dani Yogatama, Vatsal Sharan, Robin Jia, Willie Neiswanger
2025	A*	`conf`	Transformers Learn Low Sensitivity Functions: Investigations and Implications. ICLR Bhavya Vasudeva, Deqing Fu, Tianyi Zhou, Elliott Kau, Youqi Huang, Vatsal Sharan
2025	J	`jnl`	When Do Transformers Learn Heuristics for Graph Connectivity? CoRR Qilin Ye, Deqing Fu, Robin Jia, Vatsal Sharan
2025	J	`jnl`	Zebra-CoT: A Dataset for Interleaved Vision Language Reasoning. CoRR 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
2024	J	`jnl`	DeLLMa: A Framework for Decision Making Under Uncertainty with Large Language Models. CoRR Ollie Liu, Deqing Fu, Dani Yogatama, Willie Neiswanger
2024	J	`jnl`	IsoBench: Benchmarking Multimodal Foundation Models on Isomorphic Representations. CoRR Deqing Fu, Ghazal Khalighinejad, Ollie Liu, Bhuwan Dhingra, Dani Yogatama, Robin Jia, Willie Neiswanger
2024	A*	`conf`	Pre-trained Large Language Models Use Fourier Features to Compute Addition. NeurIPS Tianyi Zhou, Deqing Fu, Vatsal Sharan, Robin Jia
2024	J	`jnl`	Pre-trained Large Language Models Use Fourier Features to Compute Addition. CoRR Tianyi Zhou, Deqing Fu, Vatsal Sharan, Robin Jia
2024	J	`jnl`	Simplicity Bias of Transformers to Learn Low Sensitivity Functions. CoRR Bhavya Vasudeva, Deqing Fu, Tianyi Zhou, Elliott Kau, Youqi Huang, Vatsal Sharan
2024	J	`jnl`	TLDR: Token-Level Detective Reward Model for Large Vision Language Models. CoRR Deqing Fu, Tong Xiao, Rui Wang, Wang Zhu, Pengchuan Zhang, Guan Pang, Robin Jia, Lawrence Chen
2024	A*	`conf`	Transformers Learn to Achieve Second-Order Convergence Rates for In-Context Linear Regression. NeurIPS Deqing Fu, Tian-Qi Chen, Robin Jia, Vatsal Sharan
2024	J	`jnl`	VisualLens: Personalization through Visual History. CoRR Wang Bill Zhu, Deqing Fu, Kai Sun, Yi Lu, Zhaojiang Lin, Seungwhan Moon, Kanika Narang, Mustafa Canim, Yue Liu, Anuj Kumar, Xin Luna Dong
2023	J	`jnl`	DreamSync: Aligning Text-to-Image Generation with Image Understanding Feedback. CoRR Jiao Sun, Deqing Fu, Yushi Hu, Su Wang, Royi Rassin, Da-Cheng Juan, Dana Alon, Charles Herrmann, Sjoerd van Steenkiste, Ranjay Krishna, Cyrus Rashtchian
2023	A*	`conf`	SCENE: Self-Labeled Counterfactuals for Extrapolating to Negative Examples. EMNLP Deqing Fu, Ameya Godbole, Robin Jia
2023	J	`jnl`	SCENE: Self-Labeled Counterfactuals for Extrapolating to Negative Examples. CoRR Deqing Fu, Ameya Godbole, Robin Jia
2023	J	`jnl`	Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Models. CoRR Deqing Fu, Tian-Qi Chen, Robin Jia, Vatsal Sharan
2022	C	`conf`	Topological Regularization for Dense Prediction. ICMLA Deqing Fu, Bradley J. Nelson
2021	A*	`conf`	Harnessing the Conditioning Sensorium for Improved Image Translation. ICCV Cooper Nederhood, Nicholas I. Kolkin, Deqing Fu, Jason Salavon
2021	J	`jnl`	Harnessing the Conditioning Sensorium for Improved Image Translation. CoRR Cooper Nederhood, Nicholas I. Kolkin, Deqing Fu, Jason Salavon
2021	J	`jnl`	Topological Regularization for Dense Prediction. CoRR Deqing Fu, Bradley J. Nelson