Language Barrier

Language barriers significantly hinder communication and access to information across diverse populations. Current research focuses on improving multilingual capabilities of large language models (LLMs), employing techniques like continual pre-training, adapter models, and multimodal learning to enhance performance across various languages and tasks, including question answering, intent detection, and audio-text retrieval. These advancements are crucial for bridging communication gaps in healthcare, legal systems, and other domains, impacting both the development of more inclusive AI systems and the accessibility of information globally. Addressing biases inherent in predominantly English-trained models and developing robust methods for evaluating cross-lingual performance remain key challenges.