SOTAVerified

Cross-Lingual Transfer

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.

Papers

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Showing 661–670 of 782 papers

TitleStatusHype
Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal ResourcesCode0
Can Monolingual Pretrained Models Help Cross-Lingual Classification?—0
Cross-Lingual Relevance Transfer for Document Retrieval—0
Unsupervised Cross-lingual Representation Learning at ScaleCode1
Emerging Cross-lingual Structure in Pretrained Language Models—0
Cross-lingual Transfer Learning with Data Selection for Large-Scale Spoken Language Understanding—0
Weakly Supervised Cross-lingual Semantic Relation Classification via Knowledge Distillation—0
Neural Cross-Lingual Event Detection with Minimal Parallel Resources—0
Cross-lingual intent classification in a low resource industrial setting—0
From Monolingual to Multilingual FAQ Assistant using Multilingual Co-training—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PaLM 2 (few-shot)Accuracy94.4—Unverified
2mT0-13BAccuracy84.45—Unverified
3RoBERTa Large (translate test)Accuracy76.05—Unverified
4BLOOMZAccuracy75.5—Unverified
5MAD-X BaseAccuracy60.94—Unverified
6mGPTAccuracy55.5—Unverified