Explore, Select, Derive, and Recall: Augmenting LLM with Human-like Memory for Mobile Task Automation

no code implementations • 4 Dec 2023 • Sunjae Lee, Junyoung Choi, Jungjae Lee, Munim Hasan Wasi, Hojun Choi, Steven Y. Ko, Sangeun Oh, Insik Shin

The advent of large language models (LLMs) has opened up new opportunities in the field of mobile task automation.

LATENT OPTIMIZATION VARIATIONAL AUTOENCODER FOR CONDITIONAL MOLECULAR GENERATION

no code implementations • 1 Jan 2021 • Kisoo Kwon, Jung-Hyun Park, Kuhwan Jeong, Sunjae Lee, Hoshik Lee

Variational autoencoder (VAE) is a generation algorithm, consisting of an encoder and a decoder, and the latent variable from the encoder is used as the input of the decoder.

Text Generation