Word Sequence

Word sequence analysis focuses on understanding how words are ordered and how that order impacts meaning and processing in various contexts, from natural language generation to linguistic structure. Current research emphasizes improving the accuracy and efficiency of sequence generation using models like transformers and Markov chains, as well as addressing issues like memorization and bias in large language models through novel unlearning techniques. This work is crucial for advancing natural language processing, improving the reliability of AI systems, and furthering our understanding of human language structure and cognition.