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RewardBench: Evaluating Reward Models for Language Modeling

RewardBench: Evaluating Reward Models for Language Modeling

20 March 2024
Nathan Lambert
Valentina Pyatkin
Jacob Morrison
Lester James Validad Miranda
Bill Yuchen Lin
Khyathi Raghavi Chandu
Nouha Dziri
Sachin Kumar
Tom Zick
Yejin Choi
Noah A. Smith
Hanna Hajishirzi
    ALM
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Papers citing "RewardBench: Evaluating Reward Models for Language Modeling"

44 / 44 papers shown
Title
VLM Q-Learning: Aligning Vision-Language Models for Interactive Decision-Making
VLM Q-Learning: Aligning Vision-Language Models for Interactive Decision-Making
Jake Grigsby
Yuke Zhu
Michael S Ryoo
Juan Carlos Niebles
OffRL
VLM
21
0
0
06 May 2025
Sailing AI by the Stars: A Survey of Learning from Rewards in Post-Training and Test-Time Scaling of Large Language Models
Sailing AI by the Stars: A Survey of Learning from Rewards in Post-Training and Test-Time Scaling of Large Language Models
Xiaobao Wu
LRM
60
0
0
05 May 2025
RM-R1: Reward Modeling as Reasoning
RM-R1: Reward Modeling as Reasoning
X. Chen
Gaotang Li
Z. Wang
Bowen Jin
Cheng Qian
...
Y. Zhang
D. Zhang
Tong Zhang
Hanghang Tong
Heng Ji
ReLM
OffRL
LRM
35
0
0
05 May 2025
Energy-Based Reward Models for Robust Language Model Alignment
Energy-Based Reward Models for Robust Language Model Alignment
Anamika Lochab
Ruqi Zhang
36
0
0
17 Apr 2025
Adversarial Training of Reward Models
Adversarial Training of Reward Models
Alexander Bukharin
Haifeng Qian
Shengyang Sun
Adithya Renduchintala
Soumye Singhal
Z. Wang
Oleksii Kuchaiev
Olivier Delalleau
T. Zhao
AAML
27
0
0
08 Apr 2025
Distillation and Refinement of Reasoning in Small Language Models for Document Re-ranking
Distillation and Refinement of Reasoning in Small Language Models for Document Re-ranking
Chris Samarinas
Hamed Zamani
ALM
LRM
61
0
0
04 Apr 2025
A Survey on Personalized Alignment -- The Missing Piece for Large Language Models in Real-World Applications
A Survey on Personalized Alignment -- The Missing Piece for Large Language Models in Real-World Applications
Jian-Yu Guan
J. Wu
J. Li
Chuanqi Cheng
Wei Yu Wu
LM&MA
69
0
0
21 Mar 2025
Aligning Multimodal LLM with Human Preference: A Survey
Aligning Multimodal LLM with Human Preference: A Survey
Tao Yu
Y. Zhang
Chaoyou Fu
Junkang Wu
Jinda Lu
...
Qingsong Wen
Z. Zhang
Yan Huang
Liang Wang
T. Tan
61
2
0
18 Mar 2025
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Bowen Jin
Hansi Zeng
Zhenrui Yue
Dong Wang
Sercan Ö. Arik
Dong Wang
Hamed Zamani
J. Han
RALM
ReLM
KELM
OffRL
AI4TS
LRM
68
18
0
12 Mar 2025
WildIFEval: Instruction Following in the Wild
Gili Lior
Asaf Yehudai
Ariel Gera
L. Ein-Dor
57
0
0
09 Mar 2025
Improving LLM General Preference Alignment via Optimistic Online Mirror Descent
Improving LLM General Preference Alignment via Optimistic Online Mirror Descent
Yuheng Zhang
Dian Yu
Tao Ge
Linfeng Song
Zhichen Zeng
Haitao Mi
Nan Jiang
Dong Yu
43
1
0
24 Feb 2025
Rate, Explain and Cite (REC): Enhanced Explanation and Attribution in Automatic Evaluation by Large Language Models
Rate, Explain and Cite (REC): Enhanced Explanation and Attribution in Automatic Evaluation by Large Language Models
Aliyah R. Hsu
James Zhu
Zhichao Wang
Bin Bi
Shubham Mehrotra
...
Sougata Chaudhuri
Regunathan Radhakrishnan
S. Asur
Claire Na Cheng
Bin Yu
ALM
LRM
62
0
0
20 Feb 2025
Policy-to-Language: Train LLMs to Explain Decisions with Flow-Matching Generated Rewards
Policy-to-Language: Train LLMs to Explain Decisions with Flow-Matching Generated Rewards
Xinyi Yang
Liang Zeng
Heng Dong
C. Yu
X. Wu
H. Yang
Yu Wang
Milind Tambe
Tonghan Wang
60
2
0
18 Feb 2025
ARIES: Stimulating Self-Refinement of Large Language Models by Iterative Preference Optimization
ARIES: Stimulating Self-Refinement of Large Language Models by Iterative Preference Optimization
Yongcheng Zeng
Xinyu Cui
Xuanfa Jin
Guoqing Liu
Zexu Sun
...
Dong Li
Ning Yang
Jianye Hao
H. Zhang
J. Wang
LRM
LLMAG
70
1
0
08 Feb 2025
Out-of-Distribution Detection using Synthetic Data Generation
Out-of-Distribution Detection using Synthetic Data Generation
Momin Abbas
Muneeza Azmat
R. Horesh
Mikhail Yurochkin
36
1
0
05 Feb 2025
UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models
UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models
Xin Xu
Qiyun Xu
Tong Xiao
Tianhao Chen
Yuchen Yan
Jiaxin Zhang
Shizhe Diao
Can Yang
Yang Wang
ELM
LRM
AI4CE
64
2
0
01 Feb 2025
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Bradley Brown
Jordan Juravsky
Ryan Ehrlich
Ronald Clark
Quoc V. Le
Christopher Ré
Azalia Mirhoseini
ALM
LRM
59
207
0
03 Jan 2025
TangoFlux: Super Fast and Faithful Text to Audio Generation with Flow Matching and Clap-Ranked Preference Optimization
TangoFlux: Super Fast and Faithful Text to Audio Generation with Flow Matching and Clap-Ranked Preference Optimization
Chia-Yu Hung
Navonil Majumder
Zhifeng Kong
Ambuj Mehrish
Rafael Valle
Bryan Catanzaro
Soujanya Poria
Bryan Catanzaro
Soujanya Poria
38
4
0
30 Dec 2024
Reinforcement Learning Enhanced LLMs: A Survey
Reinforcement Learning Enhanced LLMs: A Survey
Shuhe Wang
Shengyu Zhang
J. Zhang
Runyi Hu
Xiaoya Li
Tianwei Zhang
Jiwei Li
Fei Wu
G. Wang
Eduard H. Hovy
OffRL
104
6
0
05 Dec 2024
Interpreting Language Reward Models via Contrastive Explanations
Interpreting Language Reward Models via Contrastive Explanations
Junqi Jiang
Tom Bewley
Saumitra Mishra
Freddy Lecue
Manuela Veloso
69
0
0
25 Nov 2024
TODO: Enhancing LLM Alignment with Ternary Preferences
TODO: Enhancing LLM Alignment with Ternary Preferences
Yuxiang Guo
Lu Yin
Bo Jiang
Jiaqi Zhang
23
1
0
02 Nov 2024
Cross-lingual Transfer of Reward Models in Multilingual Alignment
Cross-lingual Transfer of Reward Models in Multilingual Alignment
Jiwoo Hong
Noah Lee
Rodrigo Martínez-Castaño
César Rodríguez
James Thorne
34
3
0
23 Oct 2024
JudgeBench: A Benchmark for Evaluating LLM-based Judges
JudgeBench: A Benchmark for Evaluating LLM-based Judges
Sijun Tan
Siyuan Zhuang
Kyle Montgomery
William Y. Tang
Alejandro Cuadron
Chenguang Wang
Raluca A. Popa
Ion Stoica
ELM
ALM
37
35
0
16 Oct 2024
CREAM: Consistency Regularized Self-Rewarding Language Models
CREAM: Consistency Regularized Self-Rewarding Language Models
Z. Wang
Weilei He
Zhiyuan Liang
Xuchao Zhang
Chetan Bansal
Ying Wei
Weitong Zhang
Huaxiu Yao
ALM
90
7
0
16 Oct 2024
MSc-SQL: Multi-Sample Critiquing Small Language Models For Text-To-SQL Translation
MSc-SQL: Multi-Sample Critiquing Small Language Models For Text-To-SQL Translation
S. Gorti
Ilan Gofman
Zhaoyan Liu
Jiapeng Wu
Noël Vouitsis
Guangwei Yu
Jesse C. Cresswell
Rasa Hosseinzadeh
SyDa
33
6
0
16 Oct 2024
RMB: Comprehensively Benchmarking Reward Models in LLM Alignment
RMB: Comprehensively Benchmarking Reward Models in LLM Alignment
Enyu Zhou
Guodong Zheng
B. Wang
Zhiheng Xi
Shihan Dou
...
Yurong Mou
Rui Zheng
Tao Gui
Qi Zhang
Xuanjing Huang
ALM
49
13
0
13 Oct 2024
Simultaneous Reward Distillation and Preference Learning: Get You a Language Model Who Can Do Both
Simultaneous Reward Distillation and Preference Learning: Get You a Language Model Who Can Do Both
Abhijnan Nath
Changsoo Jung
Ethan Seefried
Nikhil Krishnaswamy
33
1
0
11 Oct 2024
Reward-Augmented Data Enhances Direct Preference Alignment of LLMs
Reward-Augmented Data Enhances Direct Preference Alignment of LLMs
Shenao Zhang
Zhihan Liu
Boyi Liu
Y. Zhang
Yingxiang Yang
Y. Liu
Liyu Chen
Tao Sun
Z. Wang
82
2
0
10 Oct 2024
RevisEval: Improving LLM-as-a-Judge via Response-Adapted References
RevisEval: Improving LLM-as-a-Judge via Response-Adapted References
Qiyuan Zhang
Yufei Wang
Tiezheng YU
Yuxin Jiang
Chuhan Wu
...
Xin Jiang
Lifeng Shang
Ruiming Tang
Fuyuan Lyu
Chen Ma
19
4
0
07 Oct 2024
Seeing Eye to AI: Human Alignment via Gaze-Based Response Rewards for Large Language Models
Seeing Eye to AI: Human Alignment via Gaze-Based Response Rewards for Large Language Models
Angela Lopez-Cardona
Carlos Segura
Alexandros Karatzoglou
Sergi Abadal
Ioannis Arapakis
ALM
40
2
0
02 Oct 2024
Uncertainty-aware Reward Model: Teaching Reward Models to Know What is Unknown
Uncertainty-aware Reward Model: Teaching Reward Models to Know What is Unknown
Xingzhou Lou
Dong Yan
Wei Shen
Yuzi Yan
Jian Xie
Junge Zhang
41
21
0
01 Oct 2024
Aligning Language Models Using Follow-up Likelihood as Reward Signal
Aligning Language Models Using Follow-up Likelihood as Reward Signal
Chen Zhang
Dading Chong
Feng Jiang
Chengguang Tang
Anningzhe Gao
Guohua Tang
Haizhou Li
ALM
16
2
0
20 Sep 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
47
11
0
20 Sep 2024
Your Weak LLM is Secretly a Strong Teacher for Alignment
Your Weak LLM is Secretly a Strong Teacher for Alignment
Leitian Tao
Yixuan Li
79
5
0
13 Sep 2024
Bi-Factorial Preference Optimization: Balancing Safety-Helpfulness in Language Models
Bi-Factorial Preference Optimization: Balancing Safety-Helpfulness in Language Models
Wenxuan Zhang
Philip H. S. Torr
Mohamed Elhoseiny
Adel Bibi
33
9
0
27 Aug 2024
Systematic Evaluation of LLM-as-a-Judge in LLM Alignment Tasks: Explainable Metrics and Diverse Prompt Templates
Systematic Evaluation of LLM-as-a-Judge in LLM Alignment Tasks: Explainable Metrics and Diverse Prompt Templates
Hui Wei
Shenghua He
Tian Xia
Andy H. Wong
Jingyang Lin
Mei Han
Mei Han
ALM
ELM
42
22
0
23 Aug 2024
Eliminating Position Bias of Language Models: A Mechanistic Approach
Eliminating Position Bias of Language Models: A Mechanistic Approach
Ziqi Wang
Hanlin Zhang
Xiner Li
Kuan-Hao Huang
Chi Han
Shuiwang Ji
Sham Kakade
Hao Peng
Heng Ji
40
12
0
01 Jul 2024
WARM: On the Benefits of Weight Averaged Reward Models
WARM: On the Benefits of Weight Averaged Reward Models
Alexandre Ramé
Nino Vieillard
Léonard Hussenot
Robert Dadashi
Geoffrey Cideron
Olivier Bachem
Johan Ferret
92
92
0
22 Jan 2024
Self-Rewarding Language Models
Self-Rewarding Language Models
Weizhe Yuan
Richard Yuanzhe Pang
Kyunghyun Cho
Xian Li
Sainbayar Sukhbaatar
Jing Xu
Jason Weston
ReLM
SyDa
ALM
LRM
212
291
0
18 Jan 2024
JudgeLM: Fine-tuned Large Language Models are Scalable Judges
JudgeLM: Fine-tuned Large Language Models are Scalable Judges
Lianghui Zhu
Xinggang Wang
Xinlong Wang
ELM
ALM
54
103
0
26 Oct 2023
Moral Foundations of Large Language Models
Moral Foundations of Large Language Models
Marwa Abdulhai
Gregory Serapio-Garcia
Clément Crepy
Daria Valter
John Canny
Natasha Jaques
LRM
47
22
0
23 Oct 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
301
11,730
0
04 Mar 2022
Understanding Dataset Difficulty with $\mathcal{V}$-Usable Information
Understanding Dataset Difficulty with V\mathcal{V}V-Usable Information
Kawin Ethayarajh
Yejin Choi
Swabha Swayamdipta
151
157
0
16 Oct 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
273
1,561
0
18 Sep 2019
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