Sentence Bottleneck Autoencoders from Transformer Language Models

Sentence Bottleneck Autoencoders from Transformer Language Models

31 August 2021

Nikolaos Pappas

Papers citing "Sentence Bottleneck Autoencoders from Transformer Language Models"

18 / 18 papers shown

Title
Text Compression for Efficient Language Generation David Gu Peter Belcak Roger Wattenhofer 52 0 0 14 Mar 2025
Set-Theoretic Compositionality of Sentence Embeddings Naman Bansal Yash Mahajan Sanjeev Kumar Sinha S. Karmaker CoGe 72 0 0 28 Feb 2025
Cramming 1568 Tokens into a Single Vector and Back Again: Exploring the Limits of Embedding Space Capacity Yuri Kuratov M. Arkhipov Aydar Bulatov Mikhail Burtsev 85 0 0 18 Feb 2025
Data-efficient Performance Modeling via Pre-training Chunting Liu Riyadh Baghdadi 41 0 0 24 Jan 2025
Semformer: Transformer Language Models with Semantic Planning Yongjing Yin Junran Ding Kai Song Yue Zhang 37 4 0 17 Sep 2024
Time Series Anomaly Detection using Diffusion-based Models Ioana Pintilie Andrei Manolache Florin Brad DiffM 15 14 0 02 Nov 2023
SALSA: Semantically-Aware Latent Space Autoencoder Kathryn E. Kirchoff Travis Maxfield Alexander Tropsha Shawn M. Gomez 8 2 0 04 Oct 2023
Towards Controllable Natural Language Inference through Lexical Inference Types Yingji Zhang Danilo S. Carvalho Ian Pratt-Hartmann André Freitas 16 1 0 07 Aug 2023
Neuro-Symbolic Execution of Generic Source Code Yaojie Hu Jin Tian NAI 22 0 0 23 Mar 2023
Conversation Style Transfer using Few-Shot Learning Shamik Roy Raphael Shu Nikolaos Pappas Elman Mansimov Yi Zhang Saab Mansour Dan Roth 17 8 0 16 Feb 2023
Language Model Pre-Training with Sparse Latent Typing Liliang Ren Zixuan Zhang H. Wang Clare R. Voss Chengxiang Zhai Heng Ji 40 3 0 23 Oct 2022
Decoding a Neural Retriever's Latent Space for Query Suggestion Leonard Adolphs Michelle Chen Huebscher Christian Buck Sertan Girgin Olivier Bachem Massimiliano Ciaramita Thomas Hofmann RALM 13 8 0 21 Oct 2022
vec2text with Round-Trip Translations Geoffrey Cideron Sertan Girgin Anton Raichuk Olivier Pietquin Olivier Bachem Léonard Hussenot 40 3 0 14 Sep 2022
E2S2: Encoding-Enhanced Sequence-to-Sequence Pretraining for Language Understanding and Generation Qihuang Zhong Liang Ding Juhua Liu Bo Du Dacheng Tao 29 27 0 30 May 2022
Extracting Latent Steering Vectors from Pretrained Language Models Nishant Subramani Nivedita Suresh Matthew E. Peters LLMSV 20 80 0 10 May 2022
EncT5: A Framework for Fine-tuning T5 as Non-autoregressive Models Frederick Liu T. Huang Shihang Lyu Siamak Shakeri Hongkun Yu Jing Li 31 8 0 16 Oct 2021
Bag-of-Vectors Autoencoders for Unsupervised Conditional Text Generation Florian Mai James Henderson 8 2 0 13 Oct 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,950 0 20 Apr 2018