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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 491–500 of 782 papers

TitleStatusHype
Why Does Zero-Shot Cross-Lingual Generation Fail? An Explanation and a Solution—0
WiC-TSV-de: German Word-in-Context Target-Sense-Verification Dataset and Cross-Lingual Transfer Analysis—0
WikiBank: Using Wikidata to Improve Multilingual Frame-Semantic Parsing—0
“Wikily” Supervised Neural Translation Tailored to Cross-Lingual Tasks—0
Word-Level Representation From Bytes For Language Modeling—0
xGQA: Cross-Lingual Visual Question Answering—0
XLA: A Robust Unsupervised Data Augmentation Framework for Cross-Lingual NLP—0
XQA-DST: Multi-Domain and Multi-Lingual Dialogue State Tracking—0
X-SNS: Cross-Lingual Transfer Prediction through Sub-Network Similarity—0
You Can Have Your Data and Balance It Too: Towards Balanced and Efficient Multilingual 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