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LLM Critics Help Catch LLM Bugs

LLM Critics Help Catch LLM Bugs

28 June 2024
Nat McAleese
Rai Michael Pokorny
Juan Felipe Cerón Uribe
Evgenia Nitishinskaya
Maja Trebacz
Jan Leike
    ALM
    LRM
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Papers citing "LLM Critics Help Catch LLM Bugs"

13 / 13 papers shown
Title
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
65
0
0
05 May 2025
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models
Jinguo Zhu
Weiyun Wang
Zhe Chen
Z. Liu
Shenglong Ye
...
D. Lin
Yu Qiao
Jifeng Dai
Wenhai Wang
W. Wang
MLLM
VLM
66
6
1
14 Apr 2025
Enhancing LLM Reasoning with Iterative DPO: A Comprehensive Empirical Investigation
Enhancing LLM Reasoning with Iterative DPO: A Comprehensive Empirical Investigation
Songjun Tu
Jiahao Lin
Xiangyu Tian
Qichao Zhang
Linjing Li
...
Nan Xu
Wei He
Xiangyuan Lan
D. Jiang
Dongbin Zhao
LRM
44
2
0
17 Mar 2025
Fine-Tuning Diffusion Generative Models via Rich Preference Optimization
Fine-Tuning Diffusion Generative Models via Rich Preference Optimization
Hanyang Zhao
Haoxian Chen
Yucheng Guo
Genta Indra Winata
Tingting Ou
Ziyu Huang
D. Yao
Wenpin Tang
54
0
0
13 Mar 2025
Kimi k1.5: Scaling Reinforcement Learning with LLMs
Kimi k1.5: Scaling Reinforcement Learning with LLMs
Kimi Team
Angang Du
Bofei Gao
Bowei Xing
Changjiu Jiang
...
Zhilin Yang
Zhiqi Huang
Zihao Huang
Ziyao Xu
Z. Yang
VLM
ALM
OffRL
AI4TS
LRM
106
128
0
22 Jan 2025
PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models
PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models
Mingyang Song
Zhaochen Su
Xiaoye Qu
Jiawei Zhou
Yu-Xi Cheng
LRM
45
29
0
06 Jan 2025
Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning
Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning
Di Zhang
Jingdi Lei
Junxian Li
Xunzhi Wang
Y. Liu
...
S. M. I. Simon X. Yang
Jianbo Wu
Peng Ye
Wanli Ouyang
Dongzhan Zhou
OffRL
LRM
105
6
0
27 Nov 2024
TICKing All the Boxes: Generated Checklists Improve LLM Evaluation and
  Generation
TICKing All the Boxes: Generated Checklists Improve LLM Evaluation and Generation
Jonathan Cook
Tim Rocktaschel
Jakob Foerster
Dennis Aumiller
Alex Wang
ALM
29
9
0
04 Oct 2024
Problem Solving Through Human-AI Preference-Based Cooperation
Problem Solving Through Human-AI Preference-Based Cooperation
Subhabrata Dutta
Timo Kaufmann
Goran Glavas
Ivan Habernal
Kristian Kersting
Frauke Kreuter
Mira Mezini
Iryna Gurevych
Eyke Hüllermeier
Hinrich Schuetze
82
1
0
14 Aug 2024
Meta-Rewarding Language Models: Self-Improving Alignment with
  LLM-as-a-Meta-Judge
Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge
Tianhao Wu
Weizhe Yuan
O. Yu. Golovneva
Jing Xu
Yuandong Tian
Jiantao Jiao
Jason Weston
Sainbayar Sukhbaatar
ALM
KELM
LRM
44
71
0
28 Jul 2024
Defining and Characterizing Reward Hacking
Defining and Characterizing Reward Hacking
Joar Skalse
Nikolaus H. R. Howe
Dmitrii Krasheninnikov
David M. Krueger
57
53
0
27 Sep 2022
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
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
275
1,561
0
18 Sep 2019
1