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If beam search is the answer, what was the question?

If beam search is the answer, what was the question?

6 October 2020
Clara Meister
Tim Vieira
Ryan Cotterell
ArXivPDFHTML

Papers citing "If beam search is the answer, what was the question?"

42 / 42 papers shown
Title
Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo
Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo
João Loula
Benjamin LeBrun
Li Du
Ben Lipkin
Clemente Pasti
...
Ryan Cotterel
Vikash K. Mansinghka
Alexander K. Lew
Tim Vieira
Timothy J. O'Donnell
42
2
0
17 Apr 2025
Decoding Game: On Minimax Optimality of Heuristic Text Generation Strategies
Decoding Game: On Minimax Optimality of Heuristic Text Generation Strategies
Sijin Chen
Omar Hagrass
Jason M. Klusowski
32
3
0
04 Oct 2024
Entropy-Reinforced Planning with Large Language Models for Drug Discovery
Entropy-Reinforced Planning with Large Language Models for Drug Discovery
Xuefeng Liu
Chih-chan Tien
Peng Ding
Songhao Jiang
Rick L. Stevens
45
4
0
11 Jun 2024
EBBS: An Ensemble with Bi-Level Beam Search for Zero-Shot Machine Translation
EBBS: An Ensemble with Bi-Level Beam Search for Zero-Shot Machine Translation
Yuqiao Wen
Behzad Shayegh
Chenyang Huang
Yanshuai Cao
Lili Mou
58
4
0
29 Feb 2024
Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decoding
Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decoding
Yuu Jinnai
Ukyo Honda
Tetsuro Morimura
Peinan Zhang
34
6
0
10 Jan 2024
GPT-who: An Information Density-based Machine-Generated Text Detector
GPT-who: An Information Density-based Machine-Generated Text Detector
Saranya Venkatraman
Adaku Uchendu
Dongwon Lee
DeLMO
32
34
0
09 Oct 2023
Utility-Probability Duality of Neural Networks
Utility-Probability Duality of Neural Networks
Bojun Huang
Fei Yuan
UQCV
35
1
0
24 May 2023
Revisiting Entropy Rate Constancy in Text
Revisiting Entropy Rate Constancy in Text
Vivek Verma
Nicholas Tomlin
Dan Klein
21
4
0
20 May 2023
How do decoding algorithms distribute information in dialogue responses?
How do decoding algorithms distribute information in dialogue responses?
Saranya Venkatraman
He He
David Reitter
19
5
0
29 Mar 2023
Grounded Decoding: Guiding Text Generation with Grounded Models for
  Embodied Agents
Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents
Wenlong Huang
Fei Xia
Dhruv Shah
Danny Driess
Andy Zeng
...
Pete Florence
Igor Mordatch
Sergey Levine
Karol Hausman
Brian Ichter
LM&Ro
32
43
0
01 Mar 2023
RCsearcher: Reaction Center Identification in Retrosynthesis via Deep
  Q-Learning
RCsearcher: Reaction Center Identification in Retrosynthesis via Deep Q-Learning
Zixun Lan
Zuo Zeng
Binjie Hong
Zhenfu Liu
Fei Ma
27
10
0
28 Jan 2023
PairReranker: Pairwise Reranking for Natural Language Generation
PairReranker: Pairwise Reranking for Natural Language Generation
Dongfu Jiang
Bill Yuchen Lin
Xiang Ren
31
3
0
20 Dec 2022
LENS: A Learnable Evaluation Metric for Text Simplification
LENS: A Learnable Evaluation Metric for Text Simplification
Mounica Maddela
Yao Dou
David Heineman
Wei Xu
29
63
0
19 Dec 2022
DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding
DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding
Jianhao Yan
Jin Xu
Fandong Meng
Jie Zhou
Yue Zhang
24
3
0
08 Dec 2022
CUNI Submission in WMT22 General Task
CUNI Submission in WMT22 General Task
Josef Jon
Martin Popel
Ondrej Bojar
6
6
0
29 Nov 2022
Best-$k$ Search Algorithm for Neural Text Generation
Best-kkk Search Algorithm for Neural Text Generation
Jiacheng Xu
Caiming Xiong
Silvio Savarese
Yingbo Zhou
37
5
0
22 Nov 2022
Wall Street Tree Search: Risk-Aware Planning for Offline Reinforcement
  Learning
Wall Street Tree Search: Risk-Aware Planning for Offline Reinforcement Learning
D. Elbaz
Gal Novik
Oren Salzman
OffRL
33
0
0
06 Nov 2022
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
144
103
0
05 Jun 2022
GraphWalks: Efficient Shape Agnostic Geodesic Shortest Path Estimation
GraphWalks: Efficient Shape Agnostic Geodesic Shortest Path Estimation
Rolandos Alexandros Potamias
Alexandros Neofytou
Kyriaki-Margarita Bintsi
S. Zafeiriou
35
13
0
30 May 2022
Learning Non-Autoregressive Models from Search for Unsupervised Sentence
  Summarization
Learning Non-Autoregressive Models from Search for Unsupervised Sentence Summarization
Puyuan Liu
Chenyang Huang
Lili Mou
35
20
0
28 May 2022
Twist Decoding: Diverse Generators Guide Each Other
Twist Decoding: Diverse Generators Guide Each Other
Jungo Kasai
Keisuke Sakaguchi
Ronan Le Bras
Hao Peng
Ximing Lu
Dragomir R. Radev
Yejin Choi
Noah A. Smith
SyDa
27
4
0
19 May 2022
Quality-Aware Decoding for Neural Machine Translation
Quality-Aware Decoding for Neural Machine Translation
Patrick Fernandes
António Farinhas
Ricardo Rei
José G. C. de Souza
Perez Ogayo
Graham Neubig
André F. T. Martins
43
57
0
02 May 2022
The Implicit Length Bias of Label Smoothing on Beam Search Decoding
The Implicit Length Bias of Label Smoothing on Beam Search Decoding
Bowen Liang
Pidong Wang
Yuan Cao
24
1
0
02 May 2022
A Call for Clarity in Beam Search: How It Works and When It Stops
A Call for Clarity in Beam Search: How It Works and When It Stops
Jungo Kasai
Keisuke Sakaguchi
Ronan Le Bras
Dragomir R. Radev
Yejin Choi
Noah A. Smith
28
6
0
11 Apr 2022
On the probability-quality paradox in language generation
On the probability-quality paradox in language generation
Clara Meister
Gian Wiher
Tiago Pimentel
Ryan Cotterell
36
14
0
31 Mar 2022
A Well-Composed Text is Half Done! Composition Sampling for Diverse
  Conditional Generation
A Well-Composed Text is Half Done! Composition Sampling for Diverse Conditional Generation
Shashi Narayan
Gonccalo Simoes
Yao-Min Zhao
Joshua Maynez
Dipanjan Das
Michael Collins
Mirella Lapata
29
30
0
28 Mar 2022
Enabling arbitrary translation objectives with Adaptive Tree Search
Enabling arbitrary translation objectives with Adaptive Tree Search
Wang Ling
Wojciech Stokowiec
Domenic Donato
Laurent Sartran
Lei Yu
Austin Matthews
Chris Dyer
16
0
0
23 Feb 2022
Improving Automatic Speech Recognition for Non-Native English with
  Transfer Learning and Language Model Decoding
Improving Automatic Speech Recognition for Non-Native English with Transfer Learning and Language Model Decoding
Peter Sullivan
Toshiko Shibano
Muhammad Abdul-Mageed
44
11
0
10 Feb 2022
Massive-scale Decoding for Text Generation using Lattices
Massive-scale Decoding for Text Generation using Lattices
Jiacheng Xu
Siddhartha Reddy Jonnalagadda
Greg Durrett
AI4CE
40
8
0
14 Dec 2021
Why don't people use character-level machine translation?
Why don't people use character-level machine translation?
Jindrich Libovický
Helmut Schmid
Alexander Fraser
65
28
0
15 Oct 2021
Sparks: Inspiration for Science Writing using Language Models
Sparks: Inspiration for Science Writing using Language Models
Katy Ilonka Gero
Vivian Liu
Lydia B. Chilton
LRM
110
170
0
14 Oct 2021
Conditional Poisson Stochastic Beam Search
Conditional Poisson Stochastic Beam Search
Clara Meister
Afra Amini
Tim Vieira
Ryan Cotterell
26
10
0
22 Sep 2021
A Plug-and-Play Method for Controlled Text Generation
A Plug-and-Play Method for Controlled Text Generation
Damian Pascual
Béni Egressy
Clara Meister
Ryan Cotterell
Roger Wattenhofer
27
89
0
20 Sep 2021
Multi-Sentence Resampling: A Simple Approach to Alleviate Dataset Length
  Bias and Beam-Search Degradation
Multi-Sentence Resampling: A Simple Approach to Alleviate Dataset Length Bias and Beam-Search Degradation
Ivan Provilkov
A. Malinin
25
4
0
13 Sep 2021
Sampling-Based Approximations to Minimum Bayes Risk Decoding for Neural
  Machine Translation
Sampling-Based Approximations to Minimum Bayes Risk Decoding for Neural Machine Translation
Bryan Eikema
Wilker Aziz
28
45
0
10 Aug 2021
Determinantal Beam Search
Determinantal Beam Search
Clara Meister
Martina Forster
Ryan Cotterell
19
13
0
14 Jun 2021
Offline Reinforcement Learning as One Big Sequence Modeling Problem
Offline Reinforcement Learning as One Big Sequence Modeling Problem
Michael Janner
Qiyang Li
Sergey Levine
OffRL
68
651
0
03 Jun 2021
A Cognitive Regularizer for Language Modeling
A Cognitive Regularizer for Language Modeling
Jason W. Wei
Clara Meister
Ryan Cotterell
21
21
0
15 May 2021
A New Approach to Overgenerating and Scoring Abstractive Summaries
A New Approach to Overgenerating and Scoring Abstractive Summaries
Kaiqiang Song
Bingqing Wang
Z. Feng
Fei Liu
22
17
0
05 Apr 2021
Global-aware Beam Search for Neural Abstractive Summarization
Global-aware Beam Search for Neural Abstractive Summarization
Ye Ma
Zixun Lan
Lu Zong
Kaizhu Huang
28
12
0
15 Sep 2020
Six Challenges for Neural Machine Translation
Six Challenges for Neural Machine Translation
Philipp Koehn
Rebecca Knowles
AAML
AIMat
224
1,209
0
12 Jun 2017
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Zhehuai Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
718
6,750
0
26 Sep 2016
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