https://github.com/shunyuzh/MSM
공식 코드Modeling Sequential Sentence Relation to Improve Cross-lingual Dense Retrieval
Papers with Code 아카이브
XLM-R
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XLM-R
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/sjtu-compling/mela
공식 코드https://github.com/sm354/mmgn
공식 코드IITD at the WANLP 2022 Shared Task: Multilingual Multi-Granularity Network for Propaganda Detection
https://github.com/sufenlp/accalign
공식 코드Multilingual Sentence Transformer as A Multilingual Word Aligner
https://github.com/tareknaous/readme
공식 코드ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessment
https://github.com/tylerachang/multilingual-geometry
공식 코드https://github.com/uclanlp/robust-xlt
공식 코드Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training
https://github.com/uds-lsv/afro-maft
공식 코드Adapting Pre-trained Language Models to African Languages via Multilingual Adaptive Fine-Tuning
https://github.com/vaidehi99/obpe
공식 코드Overlap-based Vocabulary Generation Improves Cross-lingual Transfer Among Related Languages
https://github.com/venkatasg/multilingual-counterfactual-probing
공식 코드Counterfactually Probing Language Identity in Multilingual Models
https://github.com/vinairesearch/phoatis_disfluency
공식 코드From Disfluency Detection to Intent Detection and Slot Filling
https://github.com/wanyu2018umac/UniTE
공식 코드Alibaba-Translate China's Submission for WMT 2022 Quality Estimation Shared Task
https://github.com/wietsedv/dumb
공식 코드https://github.com/zengyan-97/x2-vlm
공식 코드X$^2$-VLM: All-In-One Pre-trained Model For Vision-Language Tasks
https://huggingface.co/facebook/xlm-v-base
공식 코드XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models
https://huggingface.co/uitnlp/visobert
공식 코드ViSoBERT: A Pre-Trained Language Model for Vietnamese Social Media Text Processing
https://bitbucket.org/robvanderg/sid4lr
https://github.com/1-punchMan/CLTS
https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/bertweet
https://github.com/MindCode-4/code-13/tree/main/TSGD
https://github.com/MindCode-4/code-4/tree/main/regnet
From N-grams to Pre-trained Multilingual Models For Language Identification
https://github.com/MindCode-4/code-5/tree/main/xlm_roberta_xl
https://github.com/MindSpore-scientific-2/code-3/tree/main/TSGD
https://github.com/MindSpore-scientific/code-12/tree/main/INR-Implicit-Neural-Representations-with-Periodic-Activation-Functions
https://github.com/MindSpore-scientific/code-14/tree/main/TSGD
https://github.com/PaddlePaddle/PaddleNLP/tree/develop/examples/model_compression/minilmv2
MiniLMv2: Multi-Head Self-Attention Relation Distillation for Compressing Pretrained Transformers
https://github.com/Stanley-Zheng/ignitionhacks
https://github.com/Tikquuss/meta_XLM
https://github.com/Unbabel/COMET
https://github.com/YuweiYin/HLT-MT
https://github.com/aaronsom/wmt21-qe-tudarmstadt
MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer
https://github.com/adapter-hub/adapter-transformers-legacy
https://github.com/adapter-hub/adapters
https://github.com/adapter-hub/playground
https://github.com/aleksac99/SQuAD-SR
https://github.com/amazon-research/nearest-neighbor-crosslingual-classification
Nearest Neighbour Few-Shot Learning for Cross-lingual Classification
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.