Long short-term memory (1997) [pdf]

The paper on Long Short-Term Memory (LSTM) networks, published in 1997, introduced a groundbreaking architecture for recurrent neural networks that effectively addresses the vanishing gradient problem. LSTMs have since become a fundamental component in various applications of machine learning, particularly in sequence prediction tasks. This foundational work continues to influence the development of advanced AI models today.