2025
QUITO-X: A New Perspective on Context Compression from the Information Bottleneck Theory
EMNLP 2025
Generative large language models ( LLMs) have achieved remarkable success in various industrial applications, owing to their promising In-Context Learning capabilities. However, the issue of long context in complex tasks poses a significant barrier to their wider adoption, manifested in two main asp