Canwen Xu
27 papers · 2020–2025 · 9 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (9) 🏃 Academic Marathon (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (14)
🌈
Renaissance Researcher
(5)
🐣
Hot Topic Early Bird
🌍
Conference Polyglot
(9)
🤝
Dynamic Duo
(17)
🏆
Grand Slam
👥
Mega-Team
(40)
🧬
Topic Evolution
💎
Century Club
(27)
📈
Trend Setter
⚡
Prolific Year
(8)
🚀
Conference Pioneer
🗃️
Keyword Collector
(115)
🔥
Unstoppable
(6)
Conferences
EMNLP (9)
ACL (7)
NAACL (3)
AAAI (2)
ICLR (2)
AACL (1)
EACL (1)
ICML (1)
NIPS (1)
Top co-authors
Research topics
Keywords
self-supervised learning
(4)
model compression
(4)
text classification
(4)
transfer learning
(3)
pretrained language model
(3)
knowledge distillation
(3)
large language model
(3)
question answering
(3)
natural language processing
(3)
few-shot learning
(2)
early exit
(2)
language model
(2)
text generation
(2)
direct preference optimization
(2)
semantic analysis
(2)
parameter-efficient tuning
(2)
preference learning
(1)
code completion
(1)
contrastive learning
(1)
representation learning
(1)
Papers
Optimizing Reasoning for Text-to-SQL with Execution Feedback
ACL 2025
Small Models are Valuable Plug-ins for Large Language Models
ACL 2024
Automatic Pair Construction for Contrastive Post-training
NAACL 2024
RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems
ICLR 2024
Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data
EMNLP 2023
LongCoder: A Long-Range Pre-trained Language Model for Code Completion
ICML 2023
A Survey on Dynamic Neural Networks for Natural Language Processing
EACL 2023
A Survey on Model Compression and Acceleration for Pretrained Language Models
AAAI 2023
Spoiler Detection as Semantic Text Matching
EMNLP 2023
Automatic Multi-Label Prompting: Simple and Interpretable Few-Shot Classification
NAACL 2022
Efficiently Tuned Parameters Are Task Embeddings
EMNLP 2022
BERT Learns to Teach: Knowledge Distillation with Meta Learning
ACL 2022
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts
ACL 2022
LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrieval
ACL 2022
InforMask: Unsupervised Informative Masking for Language Model Pretraining
EMNLP 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization
ICLR 2022
Leashing the Inner Demons: Self-Detoxification for Language Models
AAAI 2022
Blow the Dog Whistle: A Chinese Dataset for Cant Understanding with Common Sense and World Knowledge
NAACL 2021
Improving Sequence-to-Sequence Pre-training via Sequence Span Rewriting
EMNLP 2021
Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression
EMNLP 2021
Datasets: A Community Library for Natural Language Processing
EMNLP 2021
Transformers: State-of-the-Art Natural Language Processing
EMNLP 2020
UnihanLM: Coarse-to-Fine Chinese-Japanese Language Model Pretraining with the Unihan Database
AACL 2020
Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders
ACL 2020
MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization
ACL 2020
BERT-of-Theseus: Compressing BERT by Progressive Module Replacing
EMNLP 2020
BERT Loses Patience: Fast and Robust Inference with Early Exit
NIPS 2020