Potential harms of large language models can be mitigated by watermarking model output,
ie, embedding signals into generated text that are invisible to humans but algorithmically …

Abstract Recent advances in Large Language Models (LLMs) have achieved remarkable
breakthroughs in understanding and responding to user intents. However, their performance …

The current trend of scaling language models involves increasing both parameter count and
training dataset size. Extrapolating this trend suggests that training dataset size may soon be …