3 accepted papers
Diffusion models have significantly advanced the field of image synthesis, making the protection of their intellectual property (IP) a critical concern. Existing IP protection methods primarily focus on embedding watermarks into generated images by altering the structure of the diffusion process. Ho…
Large Language Models (LLMs) are prone to hallucinations, which pose significant risks in their applications. Most existing hallucination detection methods rely on internal probabilities or external knowledge, and they are limited to identifying hallucinations at the sentence or passage level. In th…
Popular language models (LMs) struggle to capture knowledge about rare tail facts and entities. Since widely used systems such as search and personal-assistants must support the long tail of entities that users ask about, there has been significant effort towards enhancing these base LMs with factua…