Cross-Lingual Transfer
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Cross-lingual transfer refers to transfer learning using data and models available for one language for which ample such resources are available (e.g., English) to solve tasks in another, commonly more low-resource, language.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ccsasuke/adan
공식 코드Adversarial Deep Averaging Networks for Cross-Lingual Sentiment Classification
https://github.com/charlottepouw/crosslingual-complexity-transfer
공식 코드https://github.com/cindyxinyiwang/emea
공식 코드Efficient Test Time Adapter Ensembling for Low-resource Language Varieties
https://github.com/cindyxinyiwang/multiview-subword-regularization
공식 코드https://github.com/cisnlp/mplm-sim
공식 코드mPLM-Sim: Better Cross-Lingual Similarity and Transfer in Multilingual Pretrained Language Models
https://github.com/cisnlp/transliteration-ppa
공식 코드https://github.com/clarinsi/megahr-crossling
공식 코드Predicting Concreteness and Imageability of Words Within and Across Languages via Word Embeddings
https://github.com/cltl/unkown_script
공식 코드https://github.com/coastalcph/seq2sparql
공식 코드Compositional Generalization in Multilingual Semantic Parsing over Wikidata
https://github.com/codogogo/xling-eval
공식 코드https://github.com/copenlu/X-MAML
공식 코드https://github.com/cpjku/wechsel
공식 코드https://github.com/cross-lingual-ner/projection-data-transfer-cross-lingual-ner
공식 코드https://github.com/csalt-research/llm-based-augmentations-with-effective-data-selection
공식 코드https://github.com/csalt-research/translation-errors-crosslingual-learning
공식 코드Translation Errors Significantly Impact Low-Resource Languages in Cross-Lingual Learning
https://github.com/csjianyang/multilingual-multimodal-nlp
공식 코드MT4CrossOIE: Multi-stage Tuning for Cross-lingual Open Information Extraction
https://github.com/csu-signal/xlingual-robustness
공식 코드Cross-Lingual Transfer Robustness to Lower-Resource Languages on Adversarial Datasets
https://github.com/dadelani/sib-200
공식 코드https://github.com/dair-iitd/SSP
공식 코드https://github.com/dair-iitd/zgul
공식 코드https://github.com/damo-nlp-sg/adamergex
공식 코드AdaMergeX: Cross-Lingual Transfer with Large Language Models via Adaptive Adapter Merging
https://github.com/damo-nlp-sg/contproto
공식 코드https://github.com/damo-nlp-sg/dpa
공식 코드Enhancing Cross-lingual Prompting with Dual Prompt Augmentation
https://github.com/dannigt/mid-align
공식 코드Middle-Layer Representation Alignment for Cross-Lingual Transfer in Fine-Tuned LLMs
https://github.com/deokhk/cbp
공식 코드https://github.com/ding-zj/glode
공식 코드https://github.com/divyanshuaggarwal/indicxnli
공식 코드IndicXNLI: Evaluating Multilingual Inference for Indian Languages
https://github.com/dsfsi/embedding-eval-data
공식 코드https://github.com/duonglm38/codec
공식 코드https://github.com/e-bug/volta
공식 코드https://github.com/edchengg/easyproject
공식 코드Frustratingly Easy Label Projection for Cross-lingual Transfer
https://github.com/edchengg/gollie-transfusion
공식 코드Translation and Fusion Improves Zero-shot Cross-lingual Information Extraction
https://github.com/edchengg/model_selection
공식 코드https://github.com/elliotschu/crosslingual-el
공식 코드Cross-Lingual Transfer in Zero-Shot Cross-Language Entity Linking
https://github.com/ercong21/parc
공식 코드Cross-Lingual Retrieval Augmented Prompt for Low-Resource Languages
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.