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 311320 of 782 papers

TitleStatusHype
How to (Properly) Evaluate Cross-Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some MisconceptionsCode0
Cross-lingual Back-Parsing: Utterance Synthesis from Meaning Representation for Zero-Resource Semantic ParsingCode0
Cross-Lingual Retrieval Augmented Prompt for Low-Resource LanguagesCode0
MSVD-Indonesian: A Benchmark for Multimodal Video-Text Tasks in IndonesianCode0
Hyperpolyglot LLMs: Cross-Lingual Interpretability in Token EmbeddingsCode0
Automatic Extraction of Rules Governing Morphological AgreementCode0
Identifying the Correlation Between Language Distance and Cross-Lingual Transfer in a Multilingual Representation SpaceCode0
Cross-lingual Argumentation Mining: Machine Translation (and a bit of Projection) is All You Need!Code0
EMMA-500: Enhancing Massively Multilingual Adaptation of Large Language ModelsCode0
GL-CLeF: A Global–Local Contrastive Learning Framework for Cross-lingual Spoken Language UnderstandingCode0
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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