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Distributional Preference Learning: Understanding and Accounting for
  Hidden Context in RLHF

Distributional Preference Learning: Understanding and Accounting for Hidden Context in RLHF

13 December 2023
Anand Siththaranjan
Cassidy Laidlaw
Dylan Hadfield-Menell
ArXivPDFHTML

Papers citing "Distributional Preference Learning: Understanding and Accounting for Hidden Context in RLHF"

11 / 11 papers shown
Title
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
CTR-Driven Advertising Image Generation with Multimodal Large Language Models
CTR-Driven Advertising Image Generation with Multimodal Large Language Models
Xingye Chen
Wei Feng
Zhenbang Du
Weizhen Wang
Y. Chen
...
Jingping Shao
Yuanjie Shao
Xinge You
Changxin Gao
Nong Sang
OffRL
37
1
0
05 Feb 2025
BlueSuffix: Reinforced Blue Teaming for Vision-Language Models Against Jailbreak Attacks
BlueSuffix: Reinforced Blue Teaming for Vision-Language Models Against Jailbreak Attacks
Yunhan Zhao
Xiang Zheng
Lin Luo
Yige Li
Xingjun Ma
Yu-Gang Jiang
VLM
AAML
55
3
0
28 Oct 2024
Pareto-Optimal Learning from Preferences with Hidden Context
Pareto-Optimal Learning from Preferences with Hidden Context
Ryan Boldi
Li Ding
Lee Spector
S. Niekum
54
6
0
21 Jun 2024
Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for
  Cartoon Captioning
Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioning
Jifan Zhang
Lalit P. Jain
Yang Guo
Jiayi Chen
Kuan Lok Zhou
...
Scott Sievert
Timothy Rogers
Kevin Jamieson
Robert Mankoff
Robert Nowak
29
5
0
15 Jun 2024
Multi-objective Reinforcement learning from AI Feedback
Multi-objective Reinforcement learning from AI Feedback
Marcus Williams
18
1
0
11 Jun 2024
Social Choice Should Guide AI Alignment in Dealing with Diverse Human
  Feedback
Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback
Vincent Conitzer
Rachel Freedman
J. Heitzig
Wesley H. Holliday
Bob M. Jacobs
...
Eric Pacuit
Stuart Russell
Hailey Schoelkopf
Emanuel Tewolde
W. Zwicker
31
28
0
16 Apr 2024
Crowd-PrefRL: Preference-Based Reward Learning from Crowds
Crowd-PrefRL: Preference-Based Reward Learning from Crowds
David Chhan
Ellen R. Novoseller
Vernon J. Lawhern
27
5
0
17 Jan 2024
A Minimaximalist Approach to Reinforcement Learning from Human Feedback
A Minimaximalist Approach to Reinforcement Learning from Human Feedback
Gokul Swamy
Christoph Dann
Rahul Kidambi
Zhiwei Steven Wu
Alekh Agarwal
OffRL
28
94
0
08 Jan 2024
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
303
11,881
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
1,583
0
18 Sep 2019
1