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1702.02429
Cited By
Trainable Greedy Decoding for Neural Machine Translation
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2017
8 February 2017
Jiatao Gu
Kyunghyun Cho
Victor O.K. Li
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Papers citing
"Trainable Greedy Decoding for Neural Machine Translation"
50 / 77 papers shown
Title
SecInfer: Preventing Prompt Injection via Inference-time Scaling
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Yanting Wang
Yuqi Jia
Jinyuan Jia
Neil Zhenqiang Gong
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Planning without Search: Refining Frontier LLMs with Offline Goal-Conditioned RL
Joey Hong
Anca Dragan
Sergey Levine
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LLMAG
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194
0
0
23 May 2025
Steered Generation via Gradient Descent on Sparse Features
Sumanta Bhattacharyya
Pedram Rooshenas
LLMSV
160
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25 Feb 2025
Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models
Jinliang Lu
Ziliang Pang
Min Xiao
Yaochen Zhu
Rui Xia
Jiajun Zhang
MoMe
224
40
0
08 Jul 2024
HU at SemEval-2024 Task 8A: Can Contrastive Learning Learn Embeddings to Detect Machine-Generated Text?
Shubhashis Roy Dipta
Sadat Shahriar
DeLMO
124
4
0
19 Feb 2024
LMRL Gym: Benchmarks for Multi-Turn Reinforcement Learning with Language Models
Marwa Abdulhai
Isadora White
Charles Burton Snell
Charles Sun
Joey Hong
Yuexiang Zhai
Kelvin Xu
Sergey Levine
LLMAG
OffRL
LRM
156
52
0
30 Nov 2023
Zero-Shot Goal-Directed Dialogue via RL on Imagined Conversations
Joey Hong
Sergey Levine
Anca Dragan
OffRL
LLMAG
133
30
0
09 Nov 2023
Transformation vs Tradition: Artificial General Intelligence (AGI) for Arts and Humanities
Zheng Liu
Yiwei Li
Zhongliang Zhou
Junwen Chen
Tianze Yang
...
John Gibbs
Khaled Rasheed
Ninghao Liu
Gengchen Mai
Tianming Liu
AI4CE
198
11
0
30 Oct 2023
Advancements in Scientific Controllable Text Generation Methods
Arnav Goel
Medha Hira
Avinash Anand
Siddhesh Bangar
R. Shah
130
7
0
08 Jul 2023
An Overview on Language Models: Recent Developments and Outlook
APSIPA Transactions on Signal and Information Processing (TASIP), 2023
Chengwei Wei
Yun Cheng Wang
Bin Wang
C.-C. Jay Kuo
165
52
0
10 Mar 2023
Describe me an Aucklet: Generating Grounded Perceptual Category Descriptions
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Bill Noble
N. Ilinykh
150
0
0
07 Mar 2023
Rephrasing the Reference for Non-Autoregressive Machine Translation
AAAI Conference on Artificial Intelligence (AAAI), 2022
Chenze Shao
Jinchao Zhang
Jie Zhou
Yang Feng
123
5
0
30 Nov 2022
Zero-Shot Video Captioning with Evolving Pseudo-Tokens
Yoad Tewel
Yoav Shalev
Roy Nadler
Idan Schwartz
Lior Wolf
143
31
0
22 Jul 2022
Plug and Play Counterfactual Text Generation for Model Robustness
Nishtha Madaan
Srikanta J. Bedathur
Diptikalyan Saha
113
4
0
21 Jun 2022
Offline RL for Natural Language Generation with Implicit Language Q Learning
International Conference on Learning Representations (ICLR), 2022
Charles Burton Snell
Ilya Kostrikov
Yi Su
Mengjiao Yang
Sergey Levine
OffRL
323
128
0
05 Jun 2022
A Mixture-of-Expert Approach to RL-based Dialogue Management
International Conference on Learning Representations (ICLR), 2022
Yinlam Chow
Azamat Tulepbergenov
Ofir Nachum
Moonkyung Ryu
Mohammad Ghavamzadeh
Craig Boutilier
MoE
113
16
0
31 May 2022
Long-term Control for Dialogue Generation: Methods and Evaluation
North American Chapter of the Association for Computational Linguistics (NAACL), 2022
Ramya Ramakrishnan
H. Narangodage
M. Schilman
Kilian Q. Weinberger
Ryan T. McDonald
124
9
0
15 May 2022
Extracting Latent Steering Vectors from Pretrained Language Models
Findings (Findings), 2022
Nishant Subramani
Nivedita Suresh
Matthew E. Peters
LLMSV
134
130
0
10 May 2022
Amortized Noisy Channel Neural Machine Translation
Richard Yuanzhe Pang
He He
Kyunghyun Cho
139
5
0
16 Dec 2021
Learning Energy-Based Approximate Inference Networks for Structured Applications in NLP
Lifu Tu
BDL
84
0
0
27 Aug 2021
Incremental Beam Manipulation for Natural Language Generation
Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2021
J. Hargreaves
Andreas Vlachos
Guy Edward Toh Emerson
76
7
0
04 Feb 2021
DORB: Dynamically Optimizing Multiple Rewards with Bandits
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Ramakanth Pasunuru
Han Guo
Joey Tianyi Zhou
OffRL
104
7
0
15 Nov 2020
Target Conditioning for One-to-Many Generation
Findings (Findings), 2020
Marie-Anne Lachaux
Armand Joulin
Guillaume Lample
108
13
0
21 Sep 2020
MLE-guided parameter search for task loss minimization in neural sequence modeling
Sean Welleck
Kyunghyun Cho
132
9
0
04 Jun 2020
ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation
Annual Meeting of the Association for Computational Linguistics (ACL), 2020
Lifu Tu
Richard Yuanzhe Pang
Sam Wiseman
Kevin Gimpel
207
55
0
02 May 2020
Reverse Engineering Configurations of Neural Text Generation Models
Annual Meeting of the Association for Computational Linguistics (ACL), 2020
Yi Tay
Dara Bahri
Che Zheng
Clifford Brunk
Donald Metzler
Andrew Tomkins
DeLMO
76
34
0
13 Apr 2020
Non-Autoregressive Neural Dialogue Generation
Qinghong Han
Yuxian Meng
Leilei Gan
Jiwei Li
118
14
0
11 Feb 2020
Plug and Play Language Models: A Simple Approach to Controlled Text Generation
International Conference on Learning Representations (ICLR), 2019
Sumanth Dathathri
Andrea Madotto
Janice Lan
Jane Hung
Eric Frank
Piero Molino
J. Yosinski
Rosanne Liu
KELM
246
1,058
0
04 Dec 2019
Neural Machine Translation: A Review and Survey
Journal of Artificial Intelligence Research (JAIR), 2019
Felix Stahlberg
3DV
AI4TS
MedIm
271
364
0
04 Dec 2019
Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation
AAAI Conference on Artificial Intelligence (AAAI), 2019
Chenze Shao
Jinchao Zhang
Yang Feng
Fandong Meng
Jie Zhou
145
94
0
21 Nov 2019
Countering Language Drift via Visual Grounding
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Jason D. Lee
Kyunghyun Cho
Douwe Kiela
139
72
0
10 Sep 2019
Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation
Annual Meeting of the Association for Computational Linguistics (ACL), 2019
Chenze Shao
Yang Feng
Jinchao Zhang
Fandong Meng
Xilin Chen
Jie Zhou
91
43
0
22 Jun 2019
Comparison of Diverse Decoding Methods from Conditional Language Models
Annual Meeting of the Association for Computational Linguistics (ACL), 2019
Daphne Ippolito
Reno Kriz
M. Kustikova
João Sedoc
Chris Callison-Burch
AI4CE
121
124
0
14 Jun 2019
GLTR: Statistical Detection and Visualization of Generated Text
Annual Meeting of the Association for Computational Linguistics (ACL), 2019
Sebastian Gehrmann
Hendrik Strobelt
Alexander M. Rush
DeLMO
219
644
0
10 Jun 2019
Exposure Bias versus Self-Recovery: Are Distortions Really Incremental for Autoregressive Text Generation?
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Tianxing He
Jingzhao Zhang
Zhiming Zhou
James R. Glass
330
41
0
25 May 2019
Greedy Search with Probabilistic N-gram Matching for Neural Machine Translation
Chenze Shao
Yang Feng
Xilin Chen
97
28
0
10 Sep 2018
Characters Detection on Namecard with faster RCNN
Weitong Zhang
30
2
0
27 Jul 2018
Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting
Yen-Chun Chen
Joey Tianyi Zhou
BDL
267
599
0
28 May 2018
A Stable and Effective Learning Strategy for Trainable Greedy Decoding
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018
Yun Chen
Victor O.K. Li
Kyunghyun Cho
Samuel R. Bowman
108
29
0
21 Apr 2018
Controlling Decoding for More Abstractive Summaries with Copy-Based Networks
Noah Weber
L. Shekhar
Niranjan Balasubramanian
Kyunghyun Cho
120
10
0
19 Mar 2018
Online Learning for Effort Reduction in Interactive Neural Machine Translation
Álvaro Peris
F. Casacuberta
104
49
0
10 Feb 2018
Stack-Captioning: Coarse-to-Fine Learning for Image Captioning
Jiuxiang Gu
Jianfei Cai
G. Wang
Tsuhan Chen
167
183
0
11 Sep 2017
Named Entity Recognition with stack residual LSTM and trainable bias decoding
Q. Tran
Andrew D. MacKinlay
Antonio Jimeno Yepes
120
57
0
23 Jun 2017
Optimizing Differentiable Relaxations of Coreference Evaluation Metrics
Phong Le
Ivan Titov
70
3
0
14 Apr 2017
Later-stage Minimum Bayes-Risk Decoding for Neural Machine Translation
Raphael Shu
Hideki Nakayama
101
17
0
11 Apr 2017
Learning to Decode for Future Success
Jiwei Li
Will Monroe
Dan Jurafsky
113
60
0
23 Jan 2017
A Simple, Fast Diverse Decoding Algorithm for Neural Generation
Jiwei Li
Will Monroe
Dan Jurafsky
115
247
0
25 Nov 2016
Toward Multilingual Neural Machine Translation with Universal Encoder and Decoder
Thanh-Le Ha
Jan Niehues
A. Waibel
AI4CE
144
295
0
15 Nov 2016
Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation
Melvin Johnson
M. Schuster
Quoc V. Le
M. Krikun
Yonghui Wu
...
F. Viégas
Martin Wattenberg
Gregory S. Corrado
Macduff Hughes
Jeffrey Dean
306
2,132
0
14 Nov 2016
A Convolutional Encoder Model for Neural Machine Translation
Jonas Gehring
Michael Auli
David Grangier
Yann N. Dauphin
239
459
0
07 Nov 2016
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