Sentence Compression

Sentence compression aims to reduce text length while preserving key information and grammaticality, addressing challenges posed by lengthy sentences in various applications. Current research focuses on leveraging large language models (LLMs), often incorporating techniques like instruction-based learning, reinforcement learning, and psycholinguistic principles to guide compression, and exploring efficient methods for compressing sentence embeddings to improve speed and memory usage. These advancements are significant for improving the efficiency and scalability of natural language processing tasks, impacting areas such as summarization, question answering, and information retrieval.