Disentangling Generative Factors in Natural Language with Discrete Variational Autoencoders

15 September 2021

Papers citing "Disentangling Generative Factors in Natural Language with Discrete Variational Autoencoders"

5 / 5 papers shown

Title
LangVAE and LangSpace: Building and Probing for Language Model VAEs Danilo S. Carvalho Yingji Zhang Harriet Unsworth André Freitas 36 0 0 29 Mar 2025
Graph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language Models Baao Xie Qiuyu Chen Yunnan Wang Zequn Zhang Xin Jin Wenjun Zeng OffRL 36 2 0 26 Jul 2024
An Overview on Controllable Text Generation via Variational Auto-Encoders Haoqin Tu Yitong Li BDL 24 2 0 15 Nov 2022
Blackbird's language matrices (BLMs): a new benchmark to investigate disentangled generalisation in neural networks Paola Merlo A. An M. A. Rodriguez 23 9 0 22 May 2022
Stanza: A Python Natural Language Processing Toolkit for Many Human Languages Peng Qi Yuhao Zhang Yuhui Zhang Jason Bolton Christopher D. Manning AI4TS 207 1,654 0 16 Mar 2020