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Learning to Decode for Future Success

Learning to Decode for Future Success

23 January 2017
Jiwei Li
Will Monroe
Dan Jurafsky
ArXivPDFHTML

Papers citing "Learning to Decode for Future Success"

15 / 15 papers shown
Title
Machine Learning Predictors for Min-Entropy Estimation
Machine Learning Predictors for Min-Entropy Estimation
Javier Blanco-Romero
Vicente Lorenzo
Florina Almenáres Mendoza
Daniel Díaz Sánchez
30
1
0
28 Jun 2024
Level Generation Through Large Language Models
Level Generation Through Large Language Models
Graham Todd
Sam Earle
Muhammad Umair Nasir
M. Green
Julian Togelius
24
74
0
11 Feb 2023
Offline RL for Natural Language Generation with Implicit Language Q
  Learning
Offline RL for Natural Language Generation with Implicit Language Q Learning
Charles Burton Snell
Ilya Kostrikov
Yi Su
Mengjiao Yang
Sergey Levine
OffRL
128
102
0
05 Jun 2022
RankGen: Improving Text Generation with Large Ranking Models
RankGen: Improving Text Generation with Large Ranking Models
Kalpesh Krishna
Yapei Chang
John Wieting
Mohit Iyyer
AIMat
24
68
0
19 May 2022
Global-aware Beam Search for Neural Abstractive Summarization
Global-aware Beam Search for Neural Abstractive Summarization
Ye Ma
Zixun Lan
Lu Zong
Kaizhu Huang
25
12
0
15 Sep 2020
Teaching Machines to Converse
Teaching Machines to Converse
Jiwei Li
29
4
0
31 Jan 2020
Synchronous Bidirectional Neural Machine Translation
Synchronous Bidirectional Neural Machine Translation
Long Zhou
Jiajun Zhang
Chengqing Zong
14
106
0
13 May 2019
What makes a good conversation? How controllable attributes affect human
  judgments
What makes a good conversation? How controllable attributes affect human judgments
A. See
Stephen Roller
Douwe Kiela
Jason Weston
14
286
0
22 Feb 2019
Importance of Search and Evaluation Strategies in Neural Dialogue
  Modeling
Importance of Search and Evaluation Strategies in Neural Dialogue Modeling
Ilia Kulikov
Alexander H. Miller
Kyunghyun Cho
Jason Weston
26
83
0
02 Nov 2018
Modeling Past and Future for Neural Machine Translation
Modeling Past and Future for Neural Machine Translation
Zaixiang Zheng
Hao Zhou
Shujian Huang
Lili Mou
Xinyu Dai
Jiajun Chen
Zhaopeng Tu
27
48
0
27 Nov 2017
Neural Machine Translation with Gumbel-Greedy Decoding
Neural Machine Translation with Gumbel-Greedy Decoding
Jiatao Gu
Daniel Jiwoong Im
V. Li
17
35
0
22 Jun 2017
Trainable Greedy Decoding for Neural Machine Translation
Trainable Greedy Decoding for Neural Machine Translation
Jiatao Gu
Kyunghyun Cho
V. Li
19
73
0
08 Feb 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
104
1,502
0
25 Jan 2017
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
218
7,926
0
17 Aug 2015
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
255
13,364
0
25 Aug 2014
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