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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 241–250 of 782 papers

TitleStatusHype
Towards Explainability and Fairness in Swiss Judgement Prediction: Benchmarking on a Multilingual Dataset—0
Zero-shot cross-lingual transfer in instruction tuning of large language models—0
Mitigating the Linguistic Gap with Phonemic Representations for Robust Cross-lingual Transfer—0
Analysis of Multi-Source Language Training in Cross-Lingual Transfer—0
Key ingredients for effective zero-shot cross-lingual knowledge transfer in generative tasks—0
How Reliable Are Automatic Evaluation Methods for Instruction-Tuned LLMs?—0
Stanceosaurus 2.0: Classifying Stance Towards Russian and Spanish Misinformation—0
Soft Prompt Tuning for Cross-Lingual Transfer: When Less is MoreCode0
Constrained Decoding for Cross-lingual Label ProjectionCode0
Translation Errors Significantly Impact Low-Resource Languages in Cross-Lingual LearningCode0
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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