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 341–350 of 782 papers

TitleStatusHype
Dynamic Gazetteer Integration in Multilingual Models for Cross-Lingual and Cross-Domain Named Entity Recognition—0
Cross-lingual alignment transfer: a chicken-and-egg story?—0
Dual-view Curricular Optimal Transport for Cross-lingual Cross-modal Retrieval—0
Don't Parse, Insert: Multilingual Semantic Parsing with Insertion Based Decoding—0
Cross-lingual Alignment Methods for Multilingual BERT: A Comparative Study—0
A Survey Of Cross-lingual Word Embedding Models—0
Don’t Forget Cheap Training Signals Before Building Unsupervised Bilingual Word Embeddings—0
Cross-lingual Adaption Model-Agnostic Meta-Learning for Natural Language Understanding—0
Don’t Forget Cheap Training Signals Before Building Unsupervised Bilingual Word Embeddings—0
Don't Forget Cheap Training Signals Before Building Unsupervised Bilingual Word Embeddings—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