Yufan Jiang
12 papers · 2019–2023 · 3 venues · across top CS/AI venues
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Research topics
Machine Learning
(10)
Natural Language Processing
(10)
Learning Types Β· Machine Learning
(7)
Artificial Intelligence
(5)
Deep Learning
(5)
Applications
(5)
Core AI
(4)
Generation
(4)
Application Areas
(3)
Optimization & Theory
(3)
Understanding
(3)
Architectures
(2)
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(2)
Learning Paradigms
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Learning Types Β· Deep Learning
(2)
Keywords
neural machine translation
(4)
named entity recognition
(3)
cross-lingual transfer
(2)
language model
(2)
zero-shot learning
(2)
language modeling
(2)
neural architecture search
(2)
differentiable architecture search
(2)
self-attention mechanism
(1)
curriculum learning
(1)
few-shot learning
(1)
information extraction
(1)
contrastive learning
(1)
question answering
(1)
natural language processing
(1)
sequence labeling
(1)
multi-task learning
(1)
document-level translation
(1)
domain adaptation
(1)
transfer learning
(1)
Papers
DialogQAE: N-to-N Question Answer Pair Extraction from Customer Service Chatlog
EMNLP 2023
Soft Language Clustering for Multilingual Model Pre-training
ACL 2023
An Efficient Coarse-to-Fine Facet-Aware Unsupervised Summarization Framework Based on Semantic Blocks
COLING 2022
Contrastive Learning with Prompt-derived Virtual Semantic Prototypes for Unsupervised Sentence Embedding
EMNLP 2022
DualNER: A Dual-Teaching framework for Zero-shot Cross-lingual Named Entity Recognition
EMNLP 2022
Task-guided Disentangled Tuning for Pretrained Language Models
ACL 2022
Recurrent Attention for Neural Machine Translation
EMNLP 2021
Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation
ACL 2020
Dynamic Curriculum Learning for Low-Resource Neural Machine Translation
COLING 2020
Learning Architectures from an Extended Search Space for Language Modeling
ACL 2020
Shallow-to-Deep Training for Neural Machine Translation
EMNLP 2020
Improved Differentiable Architecture Search for Language Modeling and Named Entity Recognition
EMNLP 2019