Researchers have proposed a method for identifying implicit premises in argument graphs. The method uses large language models to generate intermediate implicit premises that are then translated into logical formulae. This approach is evaluated on the Microtext Argumentative Corpus and aims to improve the logical reconstruction of argument graphs from natural language text. --- Why it matters: This matters because it can help improve the accuracy of AI systems that analyze and reason about arguments in text, such as those used in natural language processing and decision-making applications. Source: https://arxiv.org/abs/2608.18821