Qihuang Zhong
12 papers · 2022–2025 · 3 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.
Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (34) 🤝 Dynamic Duo (12)
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Keyword Collector
(55)
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Century Club · Bronze
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Prolific Year · Productive
Venues
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Research topics
Machine Learning
(10)
Natural Language Processing
(10)
Artificial Intelligence
(7)
Applications
(6)
Resources & Methods
(6)
Deep Learning
(5)
Core AI
(5)
Optimization & Theory · Machine Learning
(5)
Optimization & Theory · Deep Learning
(5)
Application Areas
(4)
Learning Types · Machine Learning
(4)
Learning Types · Deep Learning
(3)
Architectures
(2)
Generation
(2)
Learning Paradigms
(2)
Keywords
model compression
(3)
label smoothing
(3)
large language model
(3)
self-supervised learning
(2)
model generalization
(2)
knowledge distillation
(2)
machine translation
(2)
student model
(2)
language model
(2)
data augmentation
(2)
contrastive learning
(2)
autoregressive language model
(2)
self-evolution learning
(2)
masked language model
(1)
prompt engineering
(1)
text classification
(1)
in-context learning
(1)
grammatical error correction
(1)
domain adaptation
(1)
few-shot learning
(1)
Papers
KaFT: Knowledge-aware Fine-tuning for Boosting LLMs’ Domain-specific Question-Answering Performance
ACL 2025
Learning from Imperfect Data: Towards Efficient Knowledge Distillation of Autoregressive Language Models for Text-to-SQL
EMNLP 2024
Revisiting Knowledge Distillation for Autoregressive Language Models
ACL 2024
ROSE Doesn’t Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding
ACL 2024
Revisiting Token Dropping Strategy in Efficient BERT Pretraining
ACL 2023
Self-Evolution Learning for Discriminative Language Model Pretraining
ACL 2023
Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks
EMNLP 2023
Token-Level Self-Evolution Training for Sequence-to-Sequence Learning
ACL 2023
Towards Making the Most of ChatGPT for Machine Translation
EMNLP 2023
Zero-shot Sharpness-Aware Quantization for Pre-trained Language Models
EMNLP 2023
A Contrastive Cross-Channel Data Augmentation Framework for Aspect-Based Sentiment Analysis
COLING 2022
Improving Sharpness-Aware Minimization with Fisher Mask for Better Generalization on Language Models
EMNLP 2022