Rethinking Bradley-Terry Models in Preference-Based Reward Modeling: Foundations, Theory, and Alternatives
Fuente:
arXiv
Saved in:
| Main Authors: | Sun, Hao, Shen, Yunyi, Ton, Jean-Francois |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Reviving The Classics: Active Reward Modeling in Large Language Model Alignment
by: Shen, Yunyi, et al.
Published: (2025)
by: Shen, Yunyi, et al.
Published: (2025)
Reusing Embeddings: Reproducible Reward Model Research in Large Language Model Alignment without GPUs
by: Sun, Hao, et al.
Published: (2025)
by: Sun, Hao, et al.
Published: (2025)
Beyond Bradley-Terry Models: A General Preference Model for Language Model Alignment
by: Zhang, Yifan, et al.
Published: (2024)
by: Zhang, Yifan, et al.
Published: (2024)
Efficient Portfolio Selection through Preference Aggregation with Quicksort and the Bradley--Terry Model
by: Ge, Yurun, et al.
Published: (2025)
by: Ge, Yurun, et al.
Published: (2025)
OpenDeepThink: Parallel Reasoning via Bradley-Terry Aggregation
by: Zhou, Shang, et al.
Published: (2026)
by: Zhou, Shang, et al.
Published: (2026)
Neural Bradley-Terry Rating: Quantifying Properties from Comparisons
by: Fujii, Satoru
Published: (2023)
by: Fujii, Satoru
Published: (2023)
Overcoming Reward Overoptimization via Adversarial Policy Optimization with Lightweight Uncertainty Estimation
by: Zhang, Xiaoying, et al.
Published: (2024)
by: Zhang, Xiaoying, et al.
Published: (2024)
Bradley-Terry and Multi-Objective Reward Modeling Are Complementary
by: Zhang, Zhiwei, et al.
Published: (2025)
by: Zhang, Zhiwei, et al.
Published: (2025)
OpenReview Should be Protected and Leveraged as a Community Asset for Research in the Era of Large Language Models
by: Sun, Hao, et al.
Published: (2025)
by: Sun, Hao, et al.
Published: (2025)
Bradley-Terry Policy Optimization for Generative Preference Modeling
by: Feng, Shengyu, et al.
Published: (2025)
by: Feng, Shengyu, et al.
Published: (2025)
Understanding Chain-of-Thought in LLMs through Information Theory
by: Ton, Jean-Francois, et al.
Published: (2024)
by: Ton, Jean-Francois, et al.
Published: (2024)
In-Context Reward Adaptation for Robust Preference Modeling
by: Sun, Zhenyu, et al.
Published: (2026)
by: Sun, Zhenyu, et al.
Published: (2026)
Optimal Transport for LLM Reward Modeling from Noisy Preference
by: Pan, Licheng, et al.
Published: (2026)
by: Pan, Licheng, et al.
Published: (2026)
Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment
by: Yang, Rui, et al.
Published: (2024)
by: Yang, Rui, et al.
Published: (2024)
Energy-Based Preference Model Offers Better Offline Alignment than the Bradley-Terry Preference Model
by: Hong, Yuzhong, et al.
Published: (2024)
by: Hong, Yuzhong, et al.
Published: (2024)
Towards Comprehensive Preference Data Collection for Reward Modeling
by: Hu, Yulan, et al.
Published: (2024)
by: Hu, Yulan, et al.
Published: (2024)
Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems
by: Peng, Hao, et al.
Published: (2025)
by: Peng, Hao, et al.
Published: (2025)
Rethinking Reward Models for Multi-Domain Test-Time Scaling
by: Lee, Dong Bok, et al.
Published: (2025)
by: Lee, Dong Bok, et al.
Published: (2025)
Rethinking Diverse Human Preference Learning through Principal Component Analysis
by: Luo, Feng, et al.
Published: (2025)
by: Luo, Feng, et al.
Published: (2025)
Rethinking Reward Model Evaluation Through the Lens of Reward Overoptimization
by: Kim, Sunghwan, et al.
Published: (2025)
by: Kim, Sunghwan, et al.
Published: (2025)
Aligning Crowd Feedback via Distributional Preference Reward Modeling
by: Li, Dexun, et al.
Published: (2024)
by: Li, Dexun, et al.
Published: (2024)
GRAM: A Generative Foundation Reward Model for Reward Generalization
by: Wang, Chenglong, et al.
Published: (2025)
by: Wang, Chenglong, et al.
Published: (2025)
ImplicitRM: Unbiased Reward Modeling from Implicit Preference Data for LLM alignment
by: Wang, Hao, et al.
Published: (2026)
by: Wang, Hao, et al.
Published: (2026)
The Bradley-Terry Stochastic Block Model
by: Santi, Lapo, et al.
Published: (2025)
by: Santi, Lapo, et al.
Published: (2025)
AMoPO: Adaptive Multi-objective Preference Optimization without Reward Models and Reference Models
by: Liu, Qi, et al.
Published: (2025)
by: Liu, Qi, et al.
Published: (2025)
IRPM: Intergroup Relative Preference Modeling for Pointwise Generative Reward Models
by: Song, Haonan, et al.
Published: (2026)
by: Song, Haonan, et al.
Published: (2026)
Rethinking Rubric Generation for Improving LLM Judge and Reward Modeling for Open-ended Tasks
by: Shen, William F., et al.
Published: (2026)
by: Shen, William F., et al.
Published: (2026)
Provable Reward-Agnostic Preference-Based Reinforcement Learning
by: Zhan, Wenhao, et al.
Published: (2023)
by: Zhan, Wenhao, et al.
Published: (2023)
Preference Poisoning Attacks on Reward Model Learning
by: Wu, Junlin, et al.
Published: (2024)
by: Wu, Junlin, et al.
Published: (2024)
Residual Reward Models for Preference-based Reinforcement Learning
by: Cao, Chenyang, et al.
Published: (2025)
by: Cao, Chenyang, et al.
Published: (2025)
PARM: Multi-Objective Test-Time Alignment via Preference-Aware Autoregressive Reward Model
by: Lin, Baijiong, et al.
Published: (2025)
by: Lin, Baijiong, et al.
Published: (2025)
Rethinking Reward Model Evaluation: Are We Barking up the Wrong Tree?
by: Wen, Xueru, et al.
Published: (2024)
by: Wen, Xueru, et al.
Published: (2024)
ACC-Collab: An Actor-Critic Approach to Multi-Agent LLM Collaboration
by: Estornell, Andrew, et al.
Published: (2024)
by: Estornell, Andrew, et al.
Published: (2024)
Rethinking the Role of Proxy Rewards in Language Model Alignment
by: Kim, Sungdong, et al.
Published: (2024)
by: Kim, Sungdong, et al.
Published: (2024)
Towards Understanding the Influence of Reward Margin on Preference Model Performance
by: Qin, Bowen, et al.
Published: (2024)
by: Qin, Bowen, et al.
Published: (2024)
Structural Reward Model: Enhancing Interpretability, Efficiency, and Scalability in Reward Modeling
by: Liu, Xiaoyu, et al.
Published: (2025)
by: Liu, Xiaoyu, et al.
Published: (2025)
Beyond Scalar Reward Model: Learning Generative Judge from Preference Data
by: Ye, Ziyi, et al.
Published: (2024)
by: Ye, Ziyi, et al.
Published: (2024)
The Bayesian Intransitive Bradley-Terry Model via Combinatorial Hodge Theory
by: Okahara, Hisaya, et al.
Published: (2026)
by: Okahara, Hisaya, et al.
Published: (2026)
Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward
by: Zhang, Ruohong, et al.
Published: (2024)
by: Zhang, Ruohong, et al.
Published: (2024)
A Foundation Model for Massive MIMO Precoding with an Adaptive per-User Rate-Power Tradeoff
by: Emery, Jérôme, et al.
Published: (2025)
by: Emery, Jérôme, et al.
Published: (2025)
Similar Items
-
Reviving The Classics: Active Reward Modeling in Large Language Model Alignment
by: Shen, Yunyi, et al.
Published: (2025) -
Reusing Embeddings: Reproducible Reward Model Research in Large Language Model Alignment without GPUs
by: Sun, Hao, et al.
Published: (2025) -
Beyond Bradley-Terry Models: A General Preference Model for Language Model Alignment
by: Zhang, Yifan, et al.
Published: (2024) -
Efficient Portfolio Selection through Preference Aggregation with Quicksort and the Bradley--Terry Model
by: Ge, Yurun, et al.
Published: (2025) -
OpenDeepThink: Parallel Reasoning via Bradley-Terry Aggregation
by: Zhou, Shang, et al.
Published: (2026)