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 131–140 of 782 papers

TitleStatusHype
Assessing the Syntactic Capabilities of Transformer-based Multilingual Language Models—0
Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systems—0
Cross lingual transfer learning for zero-resource domain adaptation—0
Cross-Lingual Transfer Learning for Speech Translation—0
Cross-lingual transfer learning for spoken language understanding—0
Cross-lingual Transfer Learning with Data Selection for Large-Scale Spoken Language Understanding—0
CORI: CJKV Benchmark with Romanization Integration -- A step towards Cross-lingual Transfer Beyond Textual Scripts—0
Conversational Question Answering in Low Resource Scenarios: A Dataset and Case Study for Basque—0
ABSent: Cross-Lingual Sentence Representation Mapping with Bidirectional GANs—0
Cross-lingual Transfer Learning for Pre-trained Contextualized Language 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