Feiyang Kang
7 papers · 2023–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(23)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(6)
Optimization & Theory
(5)
Artificial Intelligence
(4)
Core AI
(4)
Deep Learning
(2)
Natural Language Processing
(2)
Application Areas
(2)
Core Methods
(2)
Learning Types · Machine Learning
(2)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Applications
(1)
Generation
(1)
Learning Types · Deep Learning
(1)
Methods
(1)
Keywords
large language model
(3)
data selection
(2)
adversarial robustness
(1)
optimal transport
(1)
natural language generation
(1)
information retrieval
(1)
natural language understanding
(1)
synthetic data
(1)
data valuation
(1)
model interpretability
(1)
gradient-based method
(1)
sensitivity analysis
(1)
gradient computation
(1)
backdoor attack
(1)
empirical study
(1)
gradient-based optimization
(1)
robustness certification
(1)
scaling law
(1)
training data attribution
(1)
zero-shot learning
(1)
Papers
Demystifying Synthetic Data in LLM Pre-training: A Systematic Study of Scaling Laws, Benefits, and Pitfalls
EMNLP 2025
FASTTRACK: Reliable Fact Tracing via Clustering and LLM-Powered Evidence Validation
EMNLP 2024
Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs
ICLR 2024
The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes
CVPR 2024
LAVA: Data Valuation without Pre-Specified Learning Algorithms
ICLR 2023
Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources
NeurIPS 2023
Towards Robustness Certification Against Universal Perturbations
ICLR 2023