Qihuang Zhong
12 papers · 2022–2025 · 3 conferences · across top CS/AI conferences
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EMNLP (5)
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Keywords
model compression
(3)
label smoothing
(3)
large language model
(3)
self-supervised learning
(2)
model generalization
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knowledge distillation
(2)
machine translation
(2)
student model
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language model
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data augmentation
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contrastive learning
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autoregressive language model
(2)
self-evolution learning
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masked language model
(1)
prompt engineering
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text classification
(1)
in-context learning
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grammatical error correction
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domain adaptation
(1)
few-shot learning
(1)
Papers
KaFT: Knowledge-aware Fine-tuning for Boosting LLMsβ Domain-specific Question-Answering Performance
ACL 2025
ROSE Doesnβt Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding
ACL 2024
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
Revisiting Token Dropping Strategy in Efficient BERT Pretraining
ACL 2023
Token-Level Self-Evolution Training for Sequence-to-Sequence Learning
ACL 2023
Self-Evolution Learning for Discriminative Language Model Pretraining
ACL 2023
Zero-shot Sharpness-Aware Quantization for Pre-trained Language Models
EMNLP 2023
Towards Making the Most of ChatGPT for Machine Translation
EMNLP 2023
Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks
EMNLP 2023
Improving Sharpness-Aware Minimization with Fisher Mask for Better Generalization on Language Models
EMNLP 2022
A Contrastive Cross-Channel Data Augmentation Framework for Aspect-Based Sentiment Analysis
COLING 2022