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 261270 of 782 papers

TitleStatusHype
Is Prompt-Based Finetuning Always Better than Vanilla Finetuning? Insights from Cross-Lingual Language UnderstandingCode0
How to (Properly) Evaluate Cross-Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some MisconceptionsCode0
Cross-lingual Emotion Intensity PredictionCode0
BAD-X: Bilingual Adapters Improve Zero-Shot Cross-Lingual TransferCode0
GL-CLeF: A Global–Local Contrastive Learning Framework for Cross-lingual Spoken Language UnderstandingCode0
Hyperpolyglot LLMs: Cross-Lingual Interpretability in Token EmbeddingsCode0
Cross-lingual Dependency Parsing with Unlabeled Auxiliary LanguagesCode0
Frustratingly Simple but Surprisingly Strong: Using Language-Independent Features for Zero-shot Cross-lingual Semantic ParsingCode0
A Common Semantic Space for Monolingual and Cross-Lingual Meta-EmbeddingsCode0
Cross-lingual Dependency Parsing Based on Distributed RepresentationsCode0
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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