5 citations · 5 across the 1 of their papers we have counts for
3 papers
cs.CL2021★ 5 cited
Outline to Story: Fine-grained Controllable Story Generation from Cascaded Events
Le Fang, Tao Zeng, Chaochun Liu +3
Large-scale pretrained language models have shown thrilling generation capabilities, especially when they generate consistent long text in thousands of words with ease. However, us…
cs.CL2021
Transformer-based Conditional Variational Autoencoder for Controllable Story Generation
Le Fang, Tao Zeng, Chaochun Liu +3
We investigate large-scale latent variable models (LVMs) for neural story generation -- an under-explored application for open-domain long text -- with objectives in two threads: g…
cs.LG2019
Implicit Deep Latent Variable Models for Text Generation
Le Fang, Chunyuan Li, Jianfeng Gao +2
Deep latent variable models (LVM) such as variational auto-encoder (VAE) have recently played an important role in text generation. One key factor is the exploitation of smooth lat…