Simiao Zuo
20 papers · 2020–2025 · 8 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.
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Research topics
Machine Learning
(15)
Deep Learning
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Artificial Intelligence
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Learning Types · Machine Learning
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Core AI
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Application Areas
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Architectures
(6)
Learning Types · Deep Learning
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Optimization & Theory · Machine Learning
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Optimization & Theory · Deep Learning
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Natural Language Processing
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Mathematics & Optimization
(2)
Reinforcement Learning
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Learning Paradigms
(2)
Methods
(2)
Keywords
adversarial regularization
(4)
model compression
(3)
pre-trained language model
(3)
stackelberg game
(3)
knowledge distillation
(2)
mixture of expert
(2)
natural language understanding
(2)
generalization performance
(2)
event sequence
(2)
uncertainty quantification
(2)
language model
(2)
large language model
(2)
deep learning
(2)
score matching
(2)
question answering
(1)
data augmentation
(1)
semi-supervised learning
(1)
machine translation
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sample efficiency
(1)
neural network pruning
(1)
Papers
Towards Consistent Natural-Language Explanations via Explanation-Consistency Finetuning
COLING 2025
Evoke: Evoking Critical Thinking Abilities in LLMs via Reviewer-Author Prompt Editing
ICLR 2024
Task Oriented In-Domain Data Augmentation
EMNLP 2024
Context-Aware Query Rewriting for Improving Users’ Search Experience on E-commerce Websites
ACL 2023
Less is More: Task-aware Layer-wise Distillation for Language Model Compression
ICML 2023
Machine Learning Force Fields with Data Cost Aware Training
ICML 2023
Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms
NeurIPS 2023
SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process
ICML 2023
Adversarially Regularized Policy Learning Guided by Trajectory Optimization
L4DC 2022
MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation
NAACL 2022
No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models
ICLR 2022
PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance
ICML 2022
Self-Training with Differentiable Teacher
NAACL 2022
Taming Sparsely Activated Transformer with Stochastic Experts
ICLR 2022
Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach
EMNLP 2021
A Hypergradient Approach to Robust Regression without Correspondence
ICLR 2021
ARCH: Efficient Adversarial Regularized Training with Caching
EMNLP 2021
Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach
NAACL 2021
Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization
ACL 2021
Transformer Hawkes Process
ICML 2020