Jiachen T. Wang
14 papers · 2022–2025 · 5 venues · across top CS/AI venues
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Machine Learning
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Artificial Intelligence
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Natural Language Processing
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Deep Learning
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in-context learning
(3)
data shapley
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data valuation
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differential privacy
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stochastic gradient descent
(2)
shapley value
(2)
text classification
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robust statistics
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ensemble learning
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model unlearning
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text generation
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test-time adaptation
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text-to-image generation
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machine unlearning
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domain adaptation
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trajectory optimization
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model alignment
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deep learning
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machine learning
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prompt engineering
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Papers
Capturing the Temporal Dependence of Training Data Influence
ICLR 2025
Data Shapley in One Training Run
ICLR 2025
TokenShapley: Token Level Context Attribution with Shapley Value
ACL 2025
BaDExpert: Extracting Backdoor Functionality for Accurate Backdoor Input Detection
ICLR 2024
Boosting Alignment for Post-Unlearning Text-to-Image Generative Models
NeurIPS 2024
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer
ICLR 2024
Efficient Data Shapley for Weighted Nearest Neighbor Algorithms
AISTATS 2024
GREATS: Online Selection of High-Quality Data for LLM Training in Every Iteration
NeurIPS 2024
Language Models as Science Tutors
ICML 2024
Privacy-Preserving In-Context Learning for Large Language Models
ICLR 2024
Rethinking Data Shapley for Data Selection Tasks: Misleads and Merits
ICML 2024
Data Banzhaf: A Robust Data Valuation Framework for Machine Learning
AISTATS 2023
Uncovering Adversarial Risks of Test-Time Adaptation
ICML 2023
Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine Learning
NeurIPS 2022