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Can Unconditional Language Models Recover Arbitrary Sentences?
v1v2 (latest)

Can Unconditional Language Models Recover Arbitrary Sentences?

10 July 2019
Nishant Subramani
Samuel R. Bowman
Kyunghyun Cho
ArXiv (abs)PDFHTML

Papers citing "Can Unconditional Language Models Recover Arbitrary Sentences?"

11 / 11 papers shown
Title
Representing Spatial Trajectories as Distributions
Representing Spatial Trajectories as Distributions
Dídac Surís
Carl Vondrick
92
5
0
04 Oct 2022
Plug and Play Counterfactual Text Generation for Model Robustness
Plug and Play Counterfactual Text Generation for Model Robustness
Nishtha Madaan
Srikanta J. Bedathur
Diptikalyan Saha
68
4
0
21 Jun 2022
Extracting Latent Steering Vectors from Pretrained Language Models
Extracting Latent Steering Vectors from Pretrained Language Models
Nishant Subramani
Nivedita Suresh
Matthew E. Peters
LLMSV
80
101
0
10 May 2022
Parameter-Efficient Tuning by Manipulating Hidden States of Pretrained
  Language Models For Classification Tasks
Parameter-Efficient Tuning by Manipulating Hidden States of Pretrained Language Models For Classification Tasks
Haoran Yang
Piji Li
Wai Lam
77
4
0
10 Apr 2022
Discrete Auto-regressive Variational Attention Models for Text Modeling
Discrete Auto-regressive Variational Attention Models for Text Modeling
Xianghong Fang
Haoli Bai
Jian Li
Zenglin Xu
Michael Lyu
Irwin King
69
3
0
16 Jun 2021
FUDGE: Controlled Text Generation With Future Discriminators
FUDGE: Controlled Text Generation With Future Discriminators
Kevin Kaichuang Yang
Dan Klein
109
337
0
12 Apr 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Xiang Lisa Li
Percy Liang
254
4,330
0
01 Jan 2021
Conditioned Natural Language Generation using only Unconditioned
  Language Model: An Exploration
Conditioned Natural Language Generation using only Unconditioned Language Model: An Exploration
Fan-Keng Sun
Cheng-I Jeff Lai
67
17
0
14 Nov 2020
Neural Language Generation: Formulation, Methods, and Evaluation
Neural Language Generation: Formulation, Methods, and Evaluation
Cristina Garbacea
Qiaozhu Mei
158
30
0
31 Jul 2020
Sparse, Dense, and Attentional Representations for Text Retrieval
Sparse, Dense, and Attentional Representations for Text Retrieval
Y. Luan
Jacob Eisenstein
Kristina Toutanova
M. Collins
92
409
0
01 May 2020
Plug and Play Language Models: A Simple Approach to Controlled Text
  Generation
Plug and Play Language Models: A Simple Approach to Controlled Text Generation
Sumanth Dathathri
Andrea Madotto
Janice Lan
Jane Hung
Eric Frank
Piero Molino
J. Yosinski
Rosanne Liu
KELM
155
980
0
04 Dec 2019
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