https://github.com/huawei-noah/noah-research
공식 코드Training Dynamics for Curriculum Learning: A Study on Monolingual and Cross-lingual NLU
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Training Dynamics for Curriculum Learning: A Study on Monolingual and Cross-lingual NLU
A Simple and Effective Method to Improve Zero-Shot Cross-Lingual Transfer Learning
Allophant: Cross-lingual Phoneme Recognition with Articulatory Attributes
Cross-Dialect Information Retrieval: Information Access in Low-Resource and High-Variance Languages
XLM-E: Cross-lingual Language Model Pre-training via ELECTRA
Zero-shot Cross-lingual Transfer of Prompt-based Tuning with a Unified Multilingual Prompt
Improving the Cross-Lingual Generalisation in Visual Question Answering
The Impact of Language Adapters in Cross-Lingual Transfer for NLU
The Impact of Cross-Lingual Adjustment of Contextual Word Representations on Zero-Shot Transfer
Contextual Label Projection for Cross-Lingual Structured Prediction
Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction
ALIGN-MLM: Word Embedding Alignment is Crucial for Multilingual Pre-training
PreAlign: Boosting Cross-Lingual Transfer by Early Establishment of Multilingual Alignment
Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT
Incorporating Lexical and Syntactic Knowledge for Unsupervised Cross-Lingual Transfer
TRAM: Bridging Trust Regions and Sharpness Aware Minimization
Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training
Adapting Pre-trained Language Models to African Languages via Multilingual Adaptive Fine-Tuning
Overlap-based Vocabulary Generation Improves Cross-lingual Transfer Among Related Languages
Adaptive Cross-lingual Text Classification through In-Context One-Shot Demonstrations
Revisiting non-English Text Simplification: A Unified Multilingual Benchmark
Zero-Shot Cross-Lingual Transfer in Legal Domain Using Transformer Models
Bilingual Alignment Pre-Training for Zero-Shot Cross-Lingual Transfer
mT5: A massively multilingual pre-trained text-to-text transformer
mT5: A massively multilingual pre-trained text-to-text transformer
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.