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Implicit Unlikelihood Training: Improving Neural Text Generation with Reinforcement Learning

Implicit Unlikelihood Training: Improving Neural Text Generation with Reinforcement Learning

E. Lagutin
Daniil Gavrilov
Pavel Kalaidin
ArXiv (abs)PDFHTML

Papers citing "Implicit Unlikelihood Training: Improving Neural Text Generation with Reinforcement Learning"

5 / 5 papers shown
Title
Arithmetic Sampling: Parallel Diverse Decoding for Large Language Models
Arithmetic Sampling: Parallel Diverse Decoding for Large Language Models
Luke Vilnis
Yury Zemlyanskiy
Patrick C. Murray
Alexandre Passos
Sumit Sanghai
105
10
0
18 Oct 2022
Diversifying Neural Dialogue Generation via Negative Distillation
Diversifying Neural Dialogue Generation via Negative Distillation
Yiwei Li
Shaoxiong Feng
Bin Sun
Kan Li
59
10
0
05 May 2022
GAP-Gen: Guided Automatic Python Code Generation
GAP-Gen: Guided Automatic Python Code Generation
Junchen Zhao
Yurun Song
Junlin Wang
Ian G. Harris
60
6
0
19 Jan 2022
Reinforcement Learning for Few-Shot Text Generation Adaptation
Reinforcement Learning for Few-Shot Text Generation Adaptation
Pengsen Cheng
Jinqiao Dai
Jiamiao Liu
Jiayong Liu
Peng Jia
94
5
0
22 Nov 2021
Creativity and Machine Learning: A Survey
Creativity and Machine Learning: A Survey
Giorgio Franceschelli
Mirco Musolesi
VLMAI4CE
129
43
0
06 Apr 2021

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