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Rewards-in-Context: Multi-objective Alignment of Foundation Models with
  Dynamic Preference Adjustment

Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment

15 February 2024
Rui Yang
Xiaoman Pan
Feng Luo
Shuang Qiu
Han Zhong
Dong Yu
Jianshu Chen
ArXivPDFHTML

Papers citing "Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment"

10 / 10 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
59
178
0
21 Mar 2025
Drift: Decoding-time Personalized Alignments with Implicit User Preferences
Drift: Decoding-time Personalized Alignments with Implicit User Preferences
Minbeom Kim
Kang-il Lee
Seongho Joo
Hwaran Lee
Thibaut Thonet
Kyomin Jung
AI4TS
65
38
0
20 Feb 2025
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
62
104
0
14 Aug 2024
Image Super-resolution Via Latent Diffusion: A Sampling-space Mixture Of
  Experts And Frequency-augmented Decoder Approach
Image Super-resolution Via Latent Diffusion: A Sampling-space Mixture Of Experts And Frequency-augmented Decoder Approach
Feng Luo
Jin-Peng Xiang
Jun Zhang
Xiao Han
Wei Yang
DiffM
54
8
0
18 Oct 2023
Instruction Tuning with GPT-4
Instruction Tuning with GPT-4
Baolin Peng
Chunyuan Li
Pengcheng He
Michel Galley
Jianfeng Gao
SyDa
ALM
LM&MA
133
428
0
06 Apr 2023
Human-in-the-loop: Provably Efficient Preference-based Reinforcement
  Learning with General Function Approximation
Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function Approximation
Xiaoyu Chen
Han Zhong
Zhuoran Yang
Zhaoran Wang
Liwei Wang
89
40
0
23 May 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
298
7,763
0
04 Mar 2022
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
280
4,273
0
29 Apr 2021
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
215
2,998
0
23 Jan 2020
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
264
1,123
0
18 Sep 2019
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