Learning Disentangled Semantic Spaces of Explanations via Invertible Neural Networks

2 May 2023

Papers citing "Learning Disentangled Semantic Spaces of Explanations via Invertible Neural Networks"

8 / 8 papers shown

Title
LangVAE and LangSpace: Building and Probing for Language Model VAEs Danilo S. Carvalho Yingji Zhang Harriet Unsworth André Freitas 34 0 0 29 Mar 2025
Nexus-O: An Omni-Perceptive And -Interactive Model for Language, Audio, And Vision Che Liu Yingji Zhang D. Zhang Weijie Zhang Chenggong Gong ... André Freitas Qifan Wang Z. Xu Rongjuncheng Zhang Yong Dai AuLLM 63 0 0 26 Feb 2025
A Distributional Lens for Multi-Aspect Controllable Text Generation Yuxuan Gu Xiaocheng Feng Sicheng Ma Lingyuan Zhang Heng Gong Bing Qin 108 36 0 06 Oct 2022
Learning Disentangled Representations for Natural Language Definitions Danilo S. Carvalho Giangiacomo Mercatali Yingji Zhang André Freitas CoGe DRL 28 7 0 22 Sep 2022
Disentangling Generative Factors in Natural Language with Discrete Variational Autoencoders Giangiacomo Mercatali André Freitas CoGe DRL 30 23 0 15 Sep 2021
The paradox of the compositionality of natural language: a neural machine translation case study Verna Dankers Elia Bruni Dieuwke Hupkes CoGe 155 75 0 12 Aug 2021
Explaining Answers with Entailment Trees Bhavana Dalvi Peter Alexander Jansen Oyvind Tafjord Zhengnan Xie Hannah Smith Leighanna Pipatanangkura Peter Clark ReLM FAtt LRM 237 184 0 17 Apr 2021
What you can cram into a single vector: Probing sentence embeddings for linguistic properties Alexis Conneau Germán Kruszewski Guillaume Lample Loïc Barrault Marco Baroni 199 876 0 03 May 2018