← Authors

Simiao Zuo

21 papers · 2020–2025 · 9 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (11) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (47) 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (5) 🌈 Renaissance Researcher (8) 🀝 Dynamic Duo (18) πŸ† Keyword Champion (4) πŸ’Ž Century Club (21) ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (84) πŸ”₯ Unstoppable (6)

Conferences

ICML (5) ICLR (4) EMNLP (3) NAACL (3) ACL (2) COLING (1) IJCNLP (1) L4DC (1) NIPS (1)

Top co-authors

Tuo Zhao (18) Haoming Jiang (10) Chen Liang (9) Weizhu Chen (8) Pengcheng He (8) Xiaodong Liu (7) Jianfeng Gao (5) Chao Zhang (5) Qingru Zhang (4) Hongyuan Zha (4)

Research topics

Robotics (1)

Keywords

adversarial regularization (4) model compression (4) stackelberg game (3) pre-trained language model (3) natural language understanding (2) knowledge distillation (2) event sequence (2) language model (2) lottery ticket hypothesis (2) uncertainty quantification (2) deep learning (2) score matching (2) neural machine translation (1) question answering (1) semi-supervised learning (1) data augmentation (1) sample efficiency (1) neural network pruning (1) weak supervision (1) domain adaptation (1)

Papers

Towards Consistent Natural-Language Explanations via Explanation-Consistency Finetuning COLING 2025
Task Oriented In-Domain Data Augmentation EMNLP 2024
Evoke: Evoking Critical Thinking Abilities in LLMs via Reviewer-Author Prompt Editing ICLR 2024
Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms NIPS 2023
Context-Aware Query Rewriting for Improving Users’ Search Experience on E-commerce Websites ACL 2023
Machine Learning Force Fields with Data Cost Aware Training ICML 2023
SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process ICML 2023
Less is More: Task-aware Layer-wise Distillation for Language Model Compression ICML 2023
No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models ICLR 2022
Taming Sparsely Activated Transformer with Stochastic Experts ICLR 2022
PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance ICML 2022
MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation NAACL 2022
Self-Training with Differentiable Teacher NAACL 2022
Adversarially Regularized Policy Learning Guided by Trajectory Optimization L4DC 2022
Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization ACL 2021
Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach EMNLP 2021
Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization IJCNLP 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
A Hypergradient Approach to Robust Regression without Correspondence ICLR 2021
Transformer Hawkes Process ICML 2020