Analogy Task

Analogy tasks, focusing on identifying and generating analogous relationships between concepts or narratives, are a key area of research in artificial intelligence and cognitive science. Current work investigates the application of large language models (LLMs) and word embedding techniques, often employing contrastive loss functions or self-reflection methods to improve accuracy and mitigate biases in analogy generation. These studies aim to better understand human analogical reasoning and build more robust AI systems capable of complex reasoning and knowledge transfer, with applications ranging from drug discovery to psychotherapy analysis. The ultimate goal is to develop AI systems that can effectively leverage analogies for problem-solving and knowledge acquisition across diverse domains.