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XLM-R
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XLM-R
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/asd765973346/xlm-swcm
https://github.com/ashwanitanwar/nmt-transfer-learning-xlm-r
https://github.com/avishek-018/Emotion-Classification-using-Transformers
Emotion Classification in a Resource Constrained Language Using Transformer-based Approach
https://github.com/avishek-018/TransEmoC
Emotion Classification in a Resource Constrained Language Using Transformer-based Approach
https://github.com/bcaitech1/p2-klue-Heeseok-Jeong
https://github.com/bitextor/bicleaner-ai
https://github.com/bminixhofer/alm
https://github.com/cardiffnlp/tweeteval
https://github.com/cmdowney88/embeddingstructure
FOCUS: Effective Embedding Initialization for Monolingual Specialization of Multilingual Models
https://github.com/dair-iitd/zgul
https://github.com/dashenzi721/hra
https://github.com/davisliang/fairseq/tree/main/examples/xlmv
XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models
https://github.com/deepmind/xquad
https://github.com/deepset-ai/FARM
https://github.com/deterministic-algorithms-lab/Large-XLM
https://github.com/facebookresearch/data2vec_vision
MiniLMv2: Multi-Head Self-Attention Relation Distillation for Compressing Pretrained Transformers
https://github.com/feyzaakyurek/XLM-LwLL
https://github.com/ffaisal93/adapt_lang_phylogeny
https://github.com/google-deepmind/xquad
https://github.com/heraclex12/vietpunc
https://github.com/hlt-mt/speech-massive
https://github.com/huggingface/transformers
https://github.com/ilhamfp/indonesian-text-classification-multilingual
https://github.com/inzva/turkish-glove
https://github.com/kheeong/XLM_OWN
https://github.com/lsqdecodebox/NLP-Comptition-review
https://github.com/martincjespersen/DaAnonymization
https://github.com/microsoft/Unicoder
XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation
https://github.com/microsoft/XGLUE
XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation
https://github.com/mklimasz/language-arithmetic
https://github.com/mohamedgabr96/NeuralDialectDetector
ARBERT & MARBERT: Deep Bidirectional Transformers for Arabic
https://github.com/nlp-uoregon/trankit
https://github.com/parovicm/badx
https://github.com/pswietojanski/slurp
https://github.com/pwc-1/Paper-8/tree/main/altclip
AltCLIP: Altering the Language Encoder in CLIP for Extended Language Capabilities
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.