Deqing Fu
9 papers · 2021–2026 · 6 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(20)
Top co-authors
Research topics
Machine Learning
(8)
Artificial Intelligence
(6)
Core AI
(5)
Deep Learning
(3)
Natural Language Processing
(3)
Learning Types · Machine Learning
(3)
Optimization & Theory
(3)
Architectures
(2)
Core Methods
(2)
Resources & Methods
(2)
Application Areas
(1)
Applications
(1)
Generation
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Keywords
large language model
(2)
vision-language model
(2)
transformer architecture
(2)
uncertainty quantification
(1)
in-context learning
(1)
question answering
(1)
self-supervised learning
(1)
image synthesis
(1)
visual grounding
(1)
text-to-image generation
(1)
cross-modal transfer
(1)
semantic alignment
(1)
model interpretability
(1)
sensitivity analysis
(1)
newton's method
(1)
linear regression
(1)
second-order optimization
(1)
inductive bia
(1)
reward model
(1)
convergence analysis
(1)
Papers
Textual Steering Vectors Can Improve Visual Understanding in Multimodal Large Language Models
ACL 2026
DeLLMa: Decision Making Under Uncertainty with Large Language Models
ICLR 2025
DreamSync: Aligning Text-to-Image Generation with Image Understanding Feedback
NAACL 2025
TLDR: Token-Level Detective Reward Model for Large Vision Language Models
ICLR 2025
Transformers Learn Low Sensitivity Functions: Investigations and Implications
ICLR 2025
Pre-trained Large Language Models Use Fourier Features to Compute Addition
NeurIPS 2024
Transformers Learn to Achieve Second-Order Convergence Rates for In-Context Linear Regression
NeurIPS 2024
SCENE: Self-Labeled Counterfactuals for Extrapolating to Negative Examples
EMNLP 2023
Harnessing the Conditioning Sensorium for Improved Image Translation
ICCV 2021