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
AdaMergeX: Cross-Lingual Transfer with Large Language Models via Adaptive Adapter MergingCode1
Exploring Multilingual Concepts of Human Value in Large Language Models: Is Value Alignment Consistent, Transferable and Controllable across Languages?Code0
Emotion Classification in Low and Moderate Resource Languages—0
Towards Explainability and Fairness in Swiss Judgement Prediction: Benchmarking on a Multilingual Dataset—0
ColBERT-XM: A Modular Multi-Vector Representation Model for Zero-Shot Multilingual Information RetrievalCode1
Mitigating the Linguistic Gap with Phonemic Representations for Robust Cross-lingual Transfer—0
Zero-shot cross-lingual transfer in instruction tuning of large language models—0
Analysis of Multi-Source Language Training in Cross-Lingual Transfer—0
Investigating Cultural Alignment of Large Language ModelsCode1
Key ingredients for effective zero-shot cross-lingual knowledge transfer in generative tasks—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