Rongrong Wang
14 papers · 2019–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) πΊοΈ Taxonomy Completionist (21) π§ Keyword Pioneer π Conference Polyglot (8) π Academic Marathon (6)
π
Renaissance Researcher
(5)
π
Interdisciplinary Bridge
π
Century Club
(14)
β‘
Prolific Year
(7)
Conferences
ICLR (3)
ICML (3)
NAACL (2)
NIPS (2)
AACL (1)
ACL (1)
EMNLP (1)
IJCNLP (1)
Top co-authors
Keywords
large language model
(4)
intrinsic self-correction
(2)
moral reasoning
(2)
in-context learning
(1)
image reconstruction
(1)
instruction following
(1)
convergence analysis
(1)
image denoising
(1)
safety alignment
(1)
low-rank approximation
(1)
model uncertainty
(1)
manifold denoising
(1)
matrix completion
(1)
nonlinear manifold
(1)
robust principal component analysis
(1)
sparse optimization
(1)
image inpainting
(1)
generalization bound
(1)
diffusion model
(1)
ai safety
(1)
Papers
Smaller Large Language Models Can Do Moral Self-Correction
NAACL 2025
On the Convergence of Moral Self-Correction in Large Language Models
AACL 2025
Learning Dynamics of Deep Matrix Factorization Beyond the Edge of Stability
ICLR 2025
Differentiable Quadratic Optimization For the Maximum Independent Set Problem
ICML 2025
SITCOM: Step-wise Triple-Consistent Diffusion Sampling For Inverse Problems
ICML 2025
On the Convergence of Moral Self-Correction in Large Language Models
IJCNLP 2025
A Survey to Recent Progress Towards Understanding In-Context Learning
NAACL 2025
Towards Understanding Task-agnostic Debiasing Through the Lenses of Intrinsic Bias and Forgetfulness
ACL 2024
Image Reconstruction Via Autoencoding Sequential Deep Image Prior
NIPS 2024
Optimal Eye Surgeon: Finding image priors through sparse generators at initialization
ICML 2024
PAC-tuning: Fine-tuning Pre-trained Language Models with PAC-driven Perturbed Gradient Descent
EMNLP 2023
Implicit regularization in Heavy-ball momentum accelerated stochastic gradient descent
ICLR 2023
Linear Convergent Decentralized Optimization with Compression
ICLR 2021
Manifold denoising by Nonlinear Robust Principal Component Analysis
NIPS 2019