Zhengyu Zhou
11 papers · 2023–2026 · 7 venues · across top CS/AI venues
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Machine Learning
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Optimization & Theory
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Natural Language Processing
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Keywords
large language model
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distributionally robust learning
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natural language generation
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false discovery rate
(1)
weakly supervised learning
(1)
data augmentation
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collaborative filtering
(1)
named entity recognition
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robust statistics
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convergence analysis
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sample complexity
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adversarial training
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flow matching
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weak supervision
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synthetic data generation
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adaptive sampling
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vc dimension
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multi-class classification
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rademacher complexity
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Papers
On the Robustness of Bandit Multiple Testing
AAAI 2026
Rademacher Complexity for Distributionally Robust Learning
AAAI 2026
ToolDreamer: Instilling LLM Reasoning Into Tool Retrievers
EACL 2026
An Error Analysis of Flow Matching for Deep Generative Modeling
ICML 2025
A Boosting-Type Convergence Result for AdaBoost.MH with Factorized Multi-Class Classifiers
NeurIPS 2024
DRF: Improving Certified Robustness via Distributional Robustness Framework
AAAI 2024
Sequential Kernel Goodness-of-fit Testing
ICML 2024
CoAug: Combining Augmentation of Labels and Labelling Rules
ACL 2023
DelucionQA: Detecting Hallucinations in Domain-specific Question Answering
EMNLP 2023
Knowledge-Grounded Natural Language Recommendation Explanation
EMNLP 2023
Sample Complexity for Distributionally Robust Learning under chi-square divergence
JMLR 2023