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

Showing 301310 of 782 papers

TitleStatusHype
Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal ResourcesCode0
Fine-Grained Analysis of Cross-Linguistic Syntactic DivergencesCode0
Cross-Lingual BERT Transformation for Zero-Shot Dependency ParsingCode0
How to (Properly) Evaluate Cross-Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some MisconceptionsCode0
First Align, then Predict: Understanding the Cross-Lingual Ability of Multilingual BERTCode0
MELA: Multilingual Evaluation of Linguistic AcceptabilityCode0
Identifying the Correlation Between Language Distance and Cross-Lingual Transfer in a Multilingual Representation SpaceCode0
Improving the Cross-Lingual Generalisation in Visual Question AnsweringCode0
Free Lunch: Robust Cross-Lingual Transfer via Model Checkpoint AveragingCode0
Cross-lingual Back-Parsing: Utterance Synthesis from Meaning Representation for Zero-Resource Semantic ParsingCode0
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Benchmark Results

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