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 221–230 of 782 papers

TitleStatusHype
Evaluating Cross-Lingual Transfer Learning Approaches in Multilingual Conversational Agent Models—0
Data-Efficient Hate Speech Detection via Cross-Lingual Nearest Neighbor Retrieval with Limited Labeled Data—0
Cross-Lingual Transfer Learning for Alzheimer's Detection From Spontaneous Speech—0
Defining Boundaries: The Impact of Domain Specification on Cross-Language and Cross-Domain Transfer in Machine Translation—0
DeFTX: Denoised Sparse Fine-Tuning for Zero-Shot Cross-Lingual Transfer—0
Delexicalized transfer parsing for low-resource languages using transformed and combined treebanks—0
Delexicalized Word Embeddings for Cross-lingual Dependency Parsing—0
Density-Driven Cross-Lingual Transfer of Dependency Parsers—0
CORI: CJKV Benchmark with Romanization Integration -- A step towards Cross-lingual Transfer Beyond Textual Scripts—0
Cross-lingual Transfer Learning for Grammatical Error Correction—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