ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2204.05424
  4. Cited By
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

11 April 2022
Jungo Kasai
Keisuke Sakaguchi
Ronan Le Bras
Dragomir R. Radev
Yejin Choi
Noah A. Smith
ArXivPDFHTML

Papers citing "A Call for Clarity in Beam Search: How It Works and When It Stops"

16 / 16 papers shown
Title
Latent Beam Diffusion Models for Decoding Image Sequences
Latent Beam Diffusion Models for Decoding Image Sequences
Guilherme Fernandes
Vasco Ramos
Regev Cohen
Idan Szpektor
João Magalhães
71
0
0
26 Mar 2025
Language Models, Graph Searching, and Supervision Adulteration: When More Supervision is Less and How to Make More More
Arvid Frydenlund
LRM
44
0
0
13 Mar 2025
Revisiting the Gold Standard: Grounding Summarization Evaluation with
  Robust Human Evaluation
Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation
Yixin Liu
Alexander R. Fabbri
Pengfei Liu
Yilun Zhao
Linyong Nan
...
Simeng Han
Shafiq R. Joty
Chien-Sheng Wu
Caiming Xiong
Dragomir R. Radev
ALM
8
132
0
15 Dec 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
119
101
0
05 Jun 2022
Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand
Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand
Jungo Kasai
Keisuke Sakaguchi
Ronan Le Bras
Lavinia Dunagan
Jacob Morrison
Alexander R. Fabbri
Yejin Choi
Noah A. Smith
40
39
0
08 Dec 2021
Conditional Poisson Stochastic Beam Search
Conditional Poisson Stochastic Beam Search
Clara Meister
Afra Amini
Tim Vieira
Ryan Cotterell
16
10
0
22 Sep 2021
Facebook AI WMT21 News Translation Task Submission
Facebook AI WMT21 News Translation Task Submission
C. Tran
Shruti Bhosale
James Cross
Philipp Koehn
Sergey Edunov
Angela Fan
VLM
124
80
0
06 Aug 2021
Coordination Among Neural Modules Through a Shared Global Workspace
Coordination Among Neural Modules Through a Shared Global Workspace
Anirudh Goyal
Aniket Didolkar
Alex Lamb
Kartikeya Badola
Nan Rosemary Ke
Nasim Rahaman
Jonathan Binas
Charles Blundell
Michael C. Mozer
Yoshua Bengio
144
90
0
01 Mar 2021
VinVL: Revisiting Visual Representations in Vision-Language Models
VinVL: Revisiting Visual Representations in Vision-Language Models
Pengchuan Zhang
Xiujun Li
Xiaowei Hu
Jianwei Yang
Lei Zhang
Lijuan Wang
Yejin Choi
Jianfeng Gao
ObjD
VLM
252
157
0
02 Jan 2021
Big Bird: Transformers for Longer Sequences
Big Bird: Transformers for Longer Sequences
Manzil Zaheer
Guru Guruganesh
Kumar Avinava Dubey
Joshua Ainslie
Chris Alberti
...
Philip Pham
Anirudh Ravula
Qifan Wang
Li Yang
Amr Ahmed
VLM
246
1,982
0
28 Jul 2020
Efficient Content-Based Sparse Attention with Routing Transformers
Efficient Content-Based Sparse Attention with Routing Transformers
Aurko Roy
M. Saffar
Ashish Vaswani
David Grangier
MoE
228
502
0
12 Mar 2020
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT
Sheng Shen
Zhen Dong
Jiayu Ye
Linjian Ma
Z. Yao
A. Gholami
Michael W. Mahoney
Kurt Keutzer
MQ
214
505
0
12 Sep 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,927
0
20 Apr 2018
Classical Structured Prediction Losses for Sequence to Sequence Learning
Classical Structured Prediction Losses for Sequence to Sequence Learning
Sergey Edunov
Myle Ott
Michael Auli
David Grangier
MarcÁurelio Ranzato
AIMat
43
185
0
14 Nov 2017
Six Challenges for Neural Machine Translation
Six Challenges for Neural Machine Translation
Philipp Koehn
Rebecca Knowles
AAML
AIMat
205
1,202
0
12 Jun 2017
Teaching Machines to Read and Comprehend
Teaching Machines to Read and Comprehend
Karl Moritz Hermann
Tomás Kociský
Edward Grefenstette
L. Espeholt
W. Kay
Mustafa Suleyman
Phil Blunsom
170
3,504
0
10 Jun 2015
1