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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 601–625 of 782 papers

TitleStatusHype
Don't Parse, Insert: Multilingual Semantic Parsing with Insertion Based Decoding—0
Dual-view Curricular Optimal Transport for Cross-lingual Cross-modal Retrieval—0
Dynamic Gazetteer Integration in Multilingual Models for Cross-Lingual and Cross-Domain Named Entity Recognition—0
Earth Mover's Distance Minimization for Unsupervised Bilingual Lexicon Induction—0
Effects of Language Relatedness for Cross-lingual Transfer Learning in Character-Based Language Models—0
Efficient Cross-Lingual Transfer for Chinese Stable Diffusion with Images as Pivots—0
Efficiently Adapting Pretrained Language Models To New Languages—0
Emerging Cross-lingual Structure in Pretrained Language Models—0
Emotion Classification in Low and Moderate Resource Languages—0
Empirical Gaussian priors for cross-lingual transfer learning—0
End-to-end Text-to-speech for Low-resource Languages by Cross-Lingual Transfer Learning—0
English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too—0
English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too—0
Enhancing Cross-lingual Prompting with Two-level Augmentation—0
Enhancing Cross-task Transfer of Large Language Models via Activation Steering—0
Enhancing LLM Language Adaption through Cross-lingual In-Context Pre-training—0
Enhancing Small Language Models for Cross-Lingual Generalized Zero-Shot Classification with Soft Prompt Tuning—0
EntityCS: Improving Zero-Shot Cross-lingual Transfer with Entity-Centric Code Switching—0
Errator: a Tool to Help Detect Annotation Errors in the Universal Dependencies Project—0
Evaluating and explaining training strategies for zero-shot cross-lingual news sentiment analysis—0
Evaluating Byte and Wordpiece Level Models for Massively Multilingual Semantic Parsing—0
Evaluating Cross-Lingual Transfer Learning Approaches in Multilingual Conversational Agent Models—0
Evaluating morphological typology in zero-shot cross-lingual transfer—0
Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation—0
Event Extraction in Basque: Typologically motivated Cross-Lingual Transfer-Learning Analysis—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