Machine translation, a critical area within natural language processing (NLP), focuses on developing algorithms to automatically translate text from one ...
The development of large language models (LLM) has been a focal point in advancing NLP capabilities. However, training these models ...
Unleashing the potential of large multimodal language models (MLLMs) to handle diverse modalities such as speech, text, images and video ...
Merge-of-experts (MoE) architectures use sparse activation to initialize scaling of model sizes while preserving high inference and training efficiency. However, ...
The emergence of large language models (LLMs) such as GPT, Claude, Gemini, LLaMA, Mistral, etc., has greatly accelerated recent advances ...
The language model landscape is evolving rapidly, driven by the empirical success of scaling models with larger parameters and computational ...
Large Language Models (LLM) have proven to be remarkably effective in numerous works. To fully realize the potential of the ...
