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BoNBoN Alignment for Large Language Models and the Sweetness of
  Best-of-n Sampling

BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling

2 June 2024
Lin Gui
Cristina Garbacea
Victor Veitch
    BDL
    LM&MA
ArXivPDFHTML

Papers citing "BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling"

27 / 27 papers shown
Title
Flex-Judge: Think Once, Judge Anywhere
Flex-Judge: Think Once, Judge Anywhere
Jongwoo Ko
S. Kim
Sungwoo Cho
Se-Young Yun
ELM
LRM
192
0
0
24 May 2025
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
114
6
0
17 Apr 2025
Review, Refine, Repeat: Understanding Iterative Decoding of AI Agents with Dynamic Evaluation and Selection
Review, Refine, Repeat: Understanding Iterative Decoding of AI Agents with Dynamic Evaluation and Selection
Souradip Chakraborty
Mohammadreza Pourreza
Ruoxi Sun
Yiwen Song
Nino Scherrer
...
Furong Huang
Amrit Singh Bedi
Ahmad Beirami
Hamid Palangi
Tomas Pfister
104
2
0
02 Apr 2025
Learning to Keep a Promise: Scaling Language Model Decoding Parallelism with Learned Asynchronous Decoding
Learning to Keep a Promise: Scaling Language Model Decoding Parallelism with Learned Asynchronous Decoding
Tian Jin
Ellie Y. Cheng
Zack Ankner
Nikunj Saunshi
Blake M. Elias
Amir Yazdanbakhsh
Jonathan Ragan-Kelley
Suvinay Subramanian
Michael Carbin
106
4
0
24 Feb 2025
Faster WIND: Accelerating Iterative Best-of-$N$ Distillation for LLM Alignment
Faster WIND: Accelerating Iterative Best-of-NNN Distillation for LLM Alignment
Tong Yang
Jincheng Mei
H. Dai
Zixin Wen
Shicong Cen
Dale Schuurmans
Yuejie Chi
Bo Dai
92
4
0
20 Feb 2025
BoKDiff: Best-of-K Diffusion Alignment for Target-Specific 3D Molecule Generation
Ali Khodabandeh Yalabadi
Mehdi Yazdani-Jahromi
O. Garibay
93
0
0
28 Jan 2025
Sharp Analysis for KL-Regularized Contextual Bandits and RLHF
Sharp Analysis for KL-Regularized Contextual Bandits and RLHF
Heyang Zhao
Chenlu Ye
Quanquan Gu
Tong Zhang
OffRL
211
6
0
07 Nov 2024
RMB: Comprehensively Benchmarking Reward Models in LLM Alignment
RMB: Comprehensively Benchmarking Reward Models in LLM Alignment
Enyu Zhou
Guodong Zheng
Binghai Wang
Zhiheng Xi
Shihan Dou
...
Yurong Mou
Rui Zheng
Tao Gui
Qi Zhang
Xuanjing Huang
ALM
110
19
0
13 Oct 2024
Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization
Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization
Noam Razin
Sadhika Malladi
Adithya Bhaskar
Danqi Chen
Sanjeev Arora
Boris Hanin
160
26
0
11 Oct 2024
RRM: Robust Reward Model Training Mitigates Reward Hacking
RRM: Robust Reward Model Training Mitigates Reward Hacking
Tianqi Liu
Wei Xiong
Jie Jessie Ren
Lichang Chen
Junru Wu
...
Yuan Liu
Bilal Piot
Abe Ittycheriah
Aviral Kumar
Mohammad Saleh
AAML
71
21
0
20 Sep 2024
From Lists to Emojis: How Format Bias Affects Model Alignment
From Lists to Emojis: How Format Bias Affects Model Alignment
Xuanchang Zhang
Wei Xiong
Lichang Chen
Dinesh Manocha
Heng Huang
Tong Zhang
ALM
77
13
0
18 Sep 2024
Variational Best-of-N Alignment
Variational Best-of-N Alignment
Afra Amini
Tim Vieira
Ryan Cotterell
Ryan Cotterell
BDL
64
22
0
08 Jul 2024
Understanding the performance gap between online and offline alignment
  algorithms
Understanding the performance gap between online and offline alignment algorithms
Yunhao Tang
Daniel Guo
Zeyu Zheng
Daniele Calandriello
Yuan Cao
...
Rémi Munos
Bernardo Avila-Pires
Michal Valko
Yong Cheng
Will Dabney
OffRL
OnRL
94
71
0
14 May 2024
Disentangling Length from Quality in Direct Preference Optimization
Disentangling Length from Quality in Direct Preference Optimization
Ryan Park
Rafael Rafailov
Stefano Ermon
Chelsea Finn
ALM
86
135
0
28 Mar 2024
KTO: Model Alignment as Prospect Theoretic Optimization
KTO: Model Alignment as Prospect Theoretic Optimization
Kawin Ethayarajh
Winnie Xu
Niklas Muennighoff
Dan Jurafsky
Douwe Kiela
244
533
0
02 Feb 2024
Transforming and Combining Rewards for Aligning Large Language Models
Transforming and Combining Rewards for Aligning Large Language Models
Zihao Wang
Chirag Nagpal
Jonathan Berant
Jacob Eisenstein
Alex DÁmour
Oluwasanmi Koyejo
Victor Veitch
49
13
0
01 Feb 2024
Theoretical guarantees on the best-of-n alignment policy
Theoretical guarantees on the best-of-n alignment policy
Ahmad Beirami
Alekh Agarwal
Jonathan Berant
Alex DÁmour
Jacob Eisenstein
Chirag Nagpal
A. Suresh
86
55
0
03 Jan 2024
Controlled Decoding from Language Models
Controlled Decoding from Language Models
Sidharth Mudgal
Jong Lee
H. Ganapathy
Yaguang Li
Tao Wang
...
Michael Collins
Trevor Strohman
Jilin Chen
Alex Beutel
Ahmad Beirami
67
88
0
25 Oct 2023
A General Theoretical Paradigm to Understand Learning from Human
  Preferences
A General Theoretical Paradigm to Understand Learning from Human Preferences
M. G. Azar
Mark Rowland
Bilal Piot
Daniel Guo
Daniele Calandriello
Michal Valko
Rémi Munos
169
616
0
18 Oct 2023
Reinforced Self-Training (ReST) for Language Modeling
Reinforced Self-Training (ReST) for Language Modeling
Çağlar Gülçehre
T. Paine
S. Srinivasan
Ksenia Konyushkova
L. Weerts
...
Chenjie Gu
Wolfgang Macherey
Arnaud Doucet
Orhan Firat
Nando de Freitas
OffRL
118
298
0
17 Aug 2023
RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment
RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment
Hanze Dong
Wei Xiong
Deepanshu Goyal
Yihan Zhang
Winnie Chow
Rui Pan
Shizhe Diao
Jipeng Zhang
Kashun Shum
Tong Zhang
ALM
68
454
0
13 Apr 2023
RRHF: Rank Responses to Align Language Models with Human Feedback
  without tears
RRHF: Rank Responses to Align Language Models with Human Feedback without tears
Zheng Yuan
Hongyi Yuan
Chuanqi Tan
Wei Wang
Songfang Huang
Feiran Huang
ALM
156
371
0
11 Apr 2023
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
868
12,916
0
04 Mar 2022
COLD Decoding: Energy-based Constrained Text Generation with Langevin
  Dynamics
COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics
Lianhui Qin
Sean Welleck
Daniel Khashabi
Yejin Choi
AI4CE
90
149
0
23 Feb 2022
FUDGE: Controlled Text Generation With Future Discriminators
FUDGE: Controlled Text Generation With Future Discriminators
Kevin Kaichuang Yang
Dan Klein
93
332
0
12 Apr 2021
Fine-Tuning Language Models from Human Preferences
Fine-Tuning Language Models from Human Preferences
Daniel M. Ziegler
Nisan Stiennon
Jeff Wu
Tom B. Brown
Alec Radford
Dario Amodei
Paul Christiano
G. Irving
ALM
460
1,727
0
18 Sep 2019
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
478
19,019
0
20 Jul 2017
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