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 511–520 of 782 papers

TitleStatusHype
Conversational Question Answering in Low Resource Scenarios: A Dataset and Case Study for Basque—0
CORI: CJKV Benchmark with Romanization Integration -- A step towards Cross-lingual Transfer Beyond Textual Scripts—0
Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systems—0
Cross-Lingual Transfer Learning for Statistical Type Inference—0
Cross-lingual Adaption Model-Agnostic Meta-Learning for Natural Language Understanding—0
Cross-lingual Alignment Methods for Multilingual BERT: A Comparative Study—0
Cross-lingual alignment transfer: a chicken-and-egg story?—0
Cross-lingual and Supervised Models for Morphosyntactic Annotation: a Comparison on Romanian—0
Cross-Lingual Approaches to Reference Resolution in Dialogue Systems—0
Cross-lingual Transfer of Abstractive Summarizer to Less-resource Language—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