Cross-Lingual Transfer
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Benchmarks
XCOPA
Most implemented
Unsupervised Cross-lingual Representation Learning at Scale
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
Does Manipulating Tokenization Aid Cross-Lingual Transfer? A Study on POS Tagging for Non-Standardized Languages
Unsupervised Dense Information Retrieval with Contrastive Learning
Papers
Cross-Lingual Alignment for Decoder-Only Models using MoE Routers
Cross-lingual contrastive learning has been a core component of multilingual encoder training, but the ability to explicitly align representations is not possible in decoder-only LLMs because of varying multilingual toke…
Cross-Lingual TransferContrastive LearningReinforcement Learning for improving Large Language Models' Catalan text simplification capabilities
Although automatic text simplification (ATS) is critical for accessibility, its progress has not matched the rapid evolution of broader natural language processing techniques. This paper investigates the application of r…
Cross-Lingual TransferReinforcement LearningText SimplificationA Systematic Comparison of Multilingual Interpretability Methods Reveals Anisotropy-Driven Failures
Multilingual language models develop shared cross-lingual representations, and various interpretability methods claim to quantify this sharing. These methods have been developed largely in isolation, and when they disagr…
Cross-Lingual TransferRecurrence Is Not Enough: Causally Validating Multilingual SAE Translation Features in Gemma 2 and 3
Sparse autoencoder (SAE) features are increasingly used to explain and steer language-model behavior, but it remains unclear whether a feature found in one language context plays the same causal role when processing prom…
Cross-Lingual TransferSeeing the Unseen: Visual Similarity for Pixel Language Model Adaptation
Pixel-based language models (LMs) replace traditional tokenizers by processing rendered images of text, making cross-lingual transfer heavily dependent on the visual and structural properties of writing systems. However,…
Cross-Lingual TransferOne Form to Transfer Them All: Pretraining Multilingual Language Models Beyond Native Orthography
Multilingual language models transfer knowledge across languages through shared subword vocabulary, a mechanism that breaks down when related languages use different writing systems. Prior work addresses this via script …
Cross-Lingual Transfer