Papers
Decoding Global Preferences: Temporal and Cooperative Dependency Modeling in Multi-Agent Preference-Based Reinforcement Learning
Tianchen Zhu, Yue Qiu, Haoyi Zhou et al.
PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs
Rongzhi Zhang, Jiaming Shen, Tianqi Liu et al.
Enhancing Preference-based Linear Bandits via Human Response Time
Shen Li, Yuyang Zhang, Zhaolin Ren et al.
Preference-based Pure Exploration
Apurv Shukla, Debabrota Basu
FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning
Lisha Chen, AFM Saif, Yanning Shen et al.
RA-PbRL: Provably Efficient Risk-Aware Preference-Based Reinforcement Learning
Yujie Zhao, Jose Efraim Aguilar Escamill, Weyl Lu et al.
Direct Preference-Based Evolutionary Multi-Objective Optimization with Dueling Bandits
Tian Huang, Shengbo Wang, Ke Li
Subject-driven Text-to-Image Generation via Preference-based Reinforcement Learning
Yanting Miao, William Loh, Suraj Kothawade et al.
SeGA: Preference-Aware Self-Contrastive Learning with Prompts for Anomalous User Detection on Twitter
Ying-Ying Chang, Wei-Yao Wang, Wen-Chih Peng
Can You Rely on Synthetic Labellers in Preference-Based Reinforcement Learning? It’s Complicated
Katherine Metcalf, Miguel Sarabia, Masha Fedzechkina et al.
Preference-Aware Constrained Multi-Objective Bayesian Optimization (Student Abstract)
Alaleh Ahmadianshalchi, Syrine Belakaria, Janardhan Rao Doppa
Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective Rewards
Haoxiang Wang, Yong Lin, Wei Xiong et al.
Modeling User Preferences with Automatic Metrics: Creating a High-Quality Preference Dataset for Machine Translation
Sweta Agrawal, José G. C. De Souza, Ricardo Rei et al.
Preference-Guided Reflective Sampling for Aligning Language Models
Hai Ye, Hwee Tou Ng
Flow to Better: Offline Preference-based Reinforcement Learning via Preferred Trajectory Generation
Zhilong Zhang, Yihao Sun, Junyin Ye et al.
Making RL with Preference-based Feedback Efficient via Randomization
Runzhe Wu, Wen Sun
Query-Policy Misalignment in Preference-Based Reinforcement Learning
Xiao Hu, Jianxiong Li, Xianyuan Zhan et al.
Provable Offline Preference-Based Reinforcement Learning
Wenhao Zhan, Masatoshi Uehara, Nathan Kallus et al.
Provable Reward-Agnostic Preference-Based Reinforcement Learning
Wenhao Zhan, Masatoshi Uehara, Wen Sun et al.
Embedding Learning for Preference-based Speech Quality Assessment
ChengHung Hu, Yusuke Yasuda, Tomoki Toda
A Preference-driven Paradigm for Enhanced Translation with Large Language Models
Dawei Zhu, Sony Trenous, Xiaoyu Shen et al.
Geometric-Averaged Preference Optimization for Soft Preference Labels
Hiroki Furuta, Kuang-Huei Lee, Shixiang Shane Gu et al.
Preference Learning Algorithms Do Not Learn Preference Rankings
Angelica Chen, Sadhika Malladi, Lily H. Zhang et al.
Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human Feedback
Maria Lerner, Florian Dorner, Elliott Ash et al.
Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization
Zhanhui Zhou, Jie Liu, Jing Shao et al.