Long-range dependencies refer to the challenge in sequence processing where models struggle to capture relationships or patterns between elements separated by large distances within the sequence. This is a critical issue in natural language processing and time-series analysis, where early inputs can significantly influence later outputs, necessitating models capable of retaining information over extended spans.