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Follow the Wisdom of the Crowd: Effective Text Generation via Minimum
  Bayes Risk Decoding

Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk Decoding

14 November 2022
Mirac Suzgun
Luke Melas-Kyriazi
Dan Jurafsky
ArXivPDFHTML

Papers citing "Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk Decoding"

45 / 45 papers shown
Title
Estimating Optimal Context Length for Hybrid Retrieval-augmented Multi-document Summarization
Estimating Optimal Context Length for Hybrid Retrieval-augmented Multi-document Summarization
Adithya Pratapa
Teruko Mitamura
RALM
34
0
0
17 Apr 2025
CoKe: Customizable Fine-Grained Story Evaluation via Chain-of-Keyword Rationalization
CoKe: Customizable Fine-Grained Story Evaluation via Chain-of-Keyword Rationalization
Brihi Joshi
Sriram Venkatapathy
Mohit Bansal
Nanyun Peng
Haw-Shiuan Chang
LRM
49
0
0
21 Mar 2025
Uncertainty-Aware Decoding with Minimum Bayes Risk
Nico Daheim
Clara Meister
Thomas Möllenhoff
Iryna Gurevych
53
0
0
07 Mar 2025
VTechAGP: An Academic-to-General-Audience Text Paraphrase Dataset and Benchmark Models
VTechAGP: An Academic-to-General-Audience Text Paraphrase Dataset and Benchmark Models
Ming Cheng
Jiaying Gong
Chenhan Yuan
William A. Ingram
Edward A. Fox
Hoda Eldardiry
47
0
0
07 Nov 2024
Belief in the Machine: Investigating Epistemological Blind Spots of
  Language Models
Belief in the Machine: Investigating Epistemological Blind Spots of Language Models
Mirac Suzgun
Tayfun Gur
Federico Bianchi
Daniel E. Ho
Thomas F. Icard
Dan Jurafsky
James Zou
29
1
0
28 Oct 2024
Theoretical Aspects of Bias and Diversity in Minimum Bayes Risk Decoding
Theoretical Aspects of Bias and Diversity in Minimum Bayes Risk Decoding
Hidetaka Kamigaito
Hiroyuki Deguchi
Yusuke Sakai
Katsuhiko Hayashi
Taro Watanabe
41
1
0
19 Oct 2024
Better Instruction-Following Through Minimum Bayes Risk
Better Instruction-Following Through Minimum Bayes Risk
Ian Wu
Patrick Fernandes
Amanda Bertsch
Seungone Kim
Sina Pakazad
Graham Neubig
48
9
0
03 Oct 2024
Improving Minimum Bayes Risk Decoding with Multi-Prompt
Improving Minimum Bayes Risk Decoding with Multi-Prompt
David Heineman
Yao Dou
Wei-ping Xu
36
6
0
22 Jul 2024
Don't Throw Away Data: Better Sequence Knowledge Distillation
Don't Throw Away Data: Better Sequence Knowledge Distillation
Jun Wang
Eleftheria Briakou
Hamid Dadkhahi
Rishabh Agarwal
Colin Cherry
Trevor Cohn
50
5
0
15 Jul 2024
Integrate the Essence and Eliminate the Dross: Fine-Grained
  Self-Consistency for Free-Form Language Generation
Integrate the Essence and Eliminate the Dross: Fine-Grained Self-Consistency for Free-Form Language Generation
Xinglin Wang
Yiwei Li
Shaoxiong Feng
Peiwen Yuan
Boyuan Pan
Heda Wang
Yao Hu
Kan Li
28
10
0
02 Jul 2024
Compare without Despair: Reliable Preference Evaluation with Generation
  Separability
Compare without Despair: Reliable Preference Evaluation with Generation Separability
Sayan Ghosh
Tejas Srinivasan
Swabha Swayamdipta
43
2
0
02 Jul 2024
From Decoding to Meta-Generation: Inference-time Algorithms for Large
  Language Models
From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models
Sean Welleck
Amanda Bertsch
Matthew Finlayson
Hailey Schoelkopf
Alex Xie
Graham Neubig
Ilia Kulikov
Zaid Harchaoui
33
50
0
24 Jun 2024
Dynamic Stochastic Decoding Strategy for Open-Domain Dialogue Generation
Dynamic Stochastic Decoding Strategy for Open-Domain Dialogue Generation
Yiwei Li
Fei Mi
Yitong Li
Yasheng Wang
Bin Sun
Shaoxiong Feng
Kan Li
29
4
0
12 Jun 2024
CERET: Cost-Effective Extrinsic Refinement for Text Generation
CERET: Cost-Effective Extrinsic Refinement for Text Generation
Jason (Jinglun) Cai
Hang Su
Monica Sunkara
Igor Shalyminov
Saab Mansour
29
1
0
08 Jun 2024
Annotation-Efficient Preference Optimization for Language Model
  Alignment
Annotation-Efficient Preference Optimization for Language Model Alignment
Yuu Jinnai
Ukyo Honda
42
0
0
22 May 2024
Conformal Prediction for Natural Language Processing: A Survey
Conformal Prediction for Natural Language Processing: A Survey
Margarida M. Campos
António Farinhas
Chrysoula Zerva
Mário A. T. Figueiredo
André F. T. Martins
AI4CE
45
14
0
03 May 2024
Regularized Best-of-N Sampling with Minimum Bayes Risk Objective for Language Model Alignment
Regularized Best-of-N Sampling with Minimum Bayes Risk Objective for Language Model Alignment
Yuu Jinnai
Tetsuro Morimura
Kaito Ariu
Kenshi Abe
66
7
0
01 Apr 2024
On the True Distribution Approximation of Minimum Bayes-Risk Decoding
On the True Distribution Approximation of Minimum Bayes-Risk Decoding
Atsumoto Ohashi
Ukyo Honda
Tetsuro Morimura
Yuu Jinnai
33
2
0
31 Mar 2024
Look Before You Leap: Problem Elaboration Prompting Improves
  Mathematical Reasoning in Large Language Models
Look Before You Leap: Problem Elaboration Prompting Improves Mathematical Reasoning in Large Language Models
Haoran Liao
Jidong Tian
Shaohua Hu
Hao He
Yaohui Jin
ReLM
LRM
46
1
0
24 Feb 2024
Towards Uncertainty-Aware Language Agent
Towards Uncertainty-Aware Language Agent
Jiuzhou Han
Wray L. Buntine
Ehsan Shareghi
LLMAG
AI4CE
32
4
0
25 Jan 2024
Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding
Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding
Mirac Suzgun
Adam Tauman Kalai
KELM
LRM
LLMAG
ReLM
43
65
0
23 Jan 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
31
6
0
10 Jan 2024
Modeling Complex Mathematical Reasoning via Large Language Model based MathAgent
Haoran Liao
Qinyi Du
Shaohua Hu
Hao He
Yanyan Xu
Jidong Tian
Yaohui Jin
LRM
AI4CE
32
1
0
14 Dec 2023
PathFinder: Guided Search over Multi-Step Reasoning Paths
PathFinder: Guided Search over Multi-Step Reasoning Paths
O. Yu. Golovneva
Sean O'Brien
Ramakanth Pasunuru
Tianlu Wang
Luke Zettlemoyer
Maryam Fazel-Zarandi
Asli Celikyilmaz
LRM
27
7
0
08 Dec 2023
Faster Minimum Bayes Risk Decoding with Confidence-based Pruning
Faster Minimum Bayes Risk Decoding with Confidence-based Pruning
Julius Cheng
Andreas Vlachos
45
21
0
25 Nov 2023
Direct Preference Optimization for Neural Machine Translation with
  Minimum Bayes Risk Decoding
Direct Preference Optimization for Neural Machine Translation with Minimum Bayes Risk Decoding
Guangyu Yang
Jinghong Chen
Weizhe Lin
Bill Byrne
24
20
0
14 Nov 2023
Model-Based Minimum Bayes Risk Decoding for Text Generation
Model-Based Minimum Bayes Risk Decoding for Text Generation
Yuu Jinnai
Tetsuro Morimura
Ukyo Honda
Kaito Ariu
Kenshi Abe
17
6
0
09 Nov 2023
Ensemble-Instruct: Generating Instruction-Tuning Data with a
  Heterogeneous Mixture of LMs
Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs
Young-Suk Lee
Md Arafat Sultan
Yousef El-Kurdi
Tahira Naseem Asim Munawar
Radu Florian
Salim Roukos
Ramón Fernández Astudillo
SyDa
19
6
0
21 Oct 2023
Ensemble Distillation for Unsupervised Constituency Parsing
Ensemble Distillation for Unsupervised Constituency Parsing
Behzad Shayegh
Yanshuai Cao
Xiaodan Zhu
Jackie C.K. Cheung
Lili Mou
50
5
0
03 Oct 2023
It's MBR All the Way Down: Modern Generation Techniques Through the Lens
  of Minimum Bayes Risk
It's MBR All the Way Down: Modern Generation Techniques Through the Lens of Minimum Bayes Risk
Amanda Bertsch
Alex Xie
Graham Neubig
Matthew R. Gormley
40
31
0
02 Oct 2023
Small Language Models Improve Giants by Rewriting Their Outputs
Small Language Models Improve Giants by Rewriting Their Outputs
Giorgos Vernikos
Arthur Bravzinskas
Jakub Adamek
Jonathan Mallinson
Aliaksei Severyn
Eric Malmi
BDL
LRM
25
14
0
22 May 2023
What Comes Next? Evaluating Uncertainty in Neural Text Generators
  Against Human Production Variability
What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability
Mario Giulianelli
Joris Baan
Wilker Aziz
Raquel Fernández
Barbara Plank
UQLM
35
30
0
19 May 2023
string2string: A Modern Python Library for String-to-String Algorithms
string2string: A Modern Python Library for String-to-String Algorithms
Mirac Suzgun
Stuart M. Shieber
Dan Jurafsky
39
7
0
27 Apr 2023
Guiding Large Language Models via Directional Stimulus Prompting
Guiding Large Language Models via Directional Stimulus Prompting
Zekun Li
Baolin Peng
Pengcheng He
Michel Galley
Jianfeng Gao
Xi Yan
LLMAG
LRM
LM&Ro
40
94
0
22 Feb 2023
Attend to the Right Context: A Plug-and-Play Module for
  Content-Controllable Summarization
Attend to the Right Context: A Plug-and-Play Module for Content-Controllable Summarization
Wen Xiao
Lesly Miculicich
Yang Liu
Pengcheng He
Giuseppe Carenini
KELM
25
3
0
21 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
18
3
0
08 Dec 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
35
5
0
22 Nov 2022
The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and
  Multi-Purpose Corpus of Patent Applications
The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications
Mirac Suzgun
Luke Melas-Kyriazi
Suproteem K. Sarkar
S. Kominers
Stuart M. Shieber
46
26
0
08 Jul 2022
Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual
  Style Transfer with Small Language Models
Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer with Small Language Models
Mirac Suzgun
Luke Melas-Kyriazi
Dan Jurafsky
VLM
82
65
0
23 May 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Xuezhi Wang
Jason W. Wei
Dale Schuurmans
Quoc Le
Ed H. Chi
Sharan Narang
Aakanksha Chowdhery
Denny Zhou
ReLM
BDL
LRM
AI4CE
314
3,248
0
21 Mar 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified
  Vision-Language Understanding and Generation
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Junnan Li
Dongxu Li
Caiming Xiong
S. Hoi
MLLM
BDL
VLM
CLIP
392
4,137
0
28 Jan 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
367
8,495
0
28 Jan 2022
The GEM Benchmark: Natural Language Generation, its Evaluation and
  Metrics
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
Sebastian Gehrmann
Tosin P. Adewumi
Karmanya Aggarwal
Pawan Sasanka Ammanamanchi
Aremu Anuoluwapo
...
Nishant Subramani
Wei-ping Xu
Diyi Yang
Akhila Yerukola
Jiawei Zhou
VLM
254
285
0
02 Feb 2021
Language GANs Falling Short
Language GANs Falling Short
Massimo Caccia
Lucas Caccia
W. Fedus
Hugo Larochelle
Joelle Pineau
Laurent Charlin
124
215
0
06 Nov 2018
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
175
3,510
0
10 Jun 2015
1