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 481–490 of 782 papers

TitleStatusHype
Vicinal Risk Minimization for Few-Shot Cross-lingual Transfer in Abusive Language Detection—0
Visual Question Answering Dataset for Bilingual Image Understanding: A Study of Cross-Lingual Transfer Using Attention Maps—0
Weakly Supervised Cross-lingual Semantic Relation Classification via Knowledge Distillation—0
Weakly Supervised POS Taggers Perform Poorly on Truly Low-Resource Languages—0
WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models—0
What Causes Knowledge Loss in Multilingual Language Models?—0
What makes multilingual BERT multilingual?—0
What Matters for Neural Cross-Lingual Named Entity Recognition: An Empirical Analysis—0
When is BERT Multilingual? Isolating Crucial Ingredients for Cross-lingual Transfer—0
When More is not Necessary Better: Multilingual Auxiliary Tasks for Zero-Shot Cross-Lingual Transfer of Hate Speech Detection Models—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