Jiancong Xiao
8 papers · 2022–2025 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(17)
Venues
Top co-authors
Research topics
Machine Learning
(7)
Optimization & Theory
(6)
Artificial Intelligence
(5)
Core AI
(5)
Learning Types · Machine Learning
(5)
Natural Language Processing
(3)
Deep Learning
(2)
Resources & Methods
(2)
Application Areas
(1)
Core Methods
(1)
Generation
(1)
Learning Types · Deep Learning
(1)
Techniques
(1)
Keywords
adversarial training
(3)
generalization bound
(3)
robust overfitting
(2)
adversarial learning
(2)
adversarial robustness
(2)
neural network
(2)
robust generalization
(2)
uniform stability
(2)
language model alignment
(1)
reinforcement learning from human feedback
(1)
nash equilibrium
(1)
rademacher complexity
(1)
mirror descent
(1)
pac-bayesian bound
(1)
deep neural network
(1)
entropy regularization
(1)
supervised fine-tuning
(1)
cross-entropy loss
(1)
attention module
(1)
moreau envelope
(1)
Papers
Fine-Tuning Attention Modules Only: Enhancing Weight Disentanglement in Task Arithmetic
ICLR 2025
Magnetic Preference Optimization: Achieving Last-iterate Convergence for Language Model Alignment
ICLR 2025
Preserving Diversity in Supervised Fine-Tuning of Large Language Models
ICLR 2025
Restoring Calibration for Aligned Large Language Models: A Calibration-Aware Fine-Tuning Approach
ICML 2025
Bridging the Gap: Rademacher Complexity in Robust and Standard Generalization
COLT 2024
Uniformly Stable Algorithms for Adversarial Training and Beyond
ICML 2024
PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization
NeurIPS 2023
Stability Analysis and Generalization Bounds of Adversarial Training
NeurIPS 2022