GCCLA: Graph-Conditioned Cross-Lingual Adaptation of Large Language Models Under Extreme Data Scarcity (A Case Study in Tigrigna)

Mitigating Data Scarcity for Large Language Models

In recent years, pretrained neural language models (PNLMs) have taken the field of natural language

Low-Resource Dialect Adaptation of Large Language Models: A French Dialect Case-Study

Despite the widespread adoption of Large Language Models (LLMs), their strongest capabilities remain

Contrastive Cross-Lingual Calibration for Large Language Models

Large language models (LLMs) are increasingly deployed in multilingual settings, yet their probabili

TigCLaF: a cross-lingual large language model framework for sentiment-aware text classification in low-resource tigrigna

Cross-Lingual Bias in Large Language Models: A Comparative Analysis of English and Swahili

Robustness of Dual-Contrastive Cross-Lingual NER Models Under Limited Source-Language Labeled Data Constraints

Cross-lingual Named Entity Recognition (NER) has recently become a research hotspot because it can a