In-context Autoencoder for Context Compression in a Large Language Model

arXiv:2307.06945v3 Announce Type: replace-cross
Abstract: We propose the In-context Autoencoder (ICAE), leveraging the power of a large language models (LLM) to compress a long context into short compact memory slots that can be directly conditioned on by the LLM for various purposes. ICAE is first pretrained using both autoencoding and language modeling objectives on massive text data, enabling it to generate memory slots that accurately and comprehensively represent the original context; Then, it is fine-tuned on instruction data for producing …

arxiv autoencoder compression context cs.ai cs.cl cs.lg language language model large language large language model type