Direct Preference Optimization with an Offset
Fuente:
arXiv
Saved in:
| Main Authors: | Amini, Afra, Vieira, Tim, Cotterell, Ryan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Better Estimation of the Kullback--Leibler Divergence Between Language Models
by: Amini, Afra, et al.
Published: (2025)
by: Amini, Afra, et al.
Published: (2025)
Variational Best-of-N Alignment
by: Amini, Afra, et al.
Published: (2024)
by: Amini, Afra, et al.
Published: (2024)
Syntactic Control of Language Models by Posterior Inference
by: Xefteri, Vicky, et al.
Published: (2025)
by: Xefteri, Vicky, et al.
Published: (2025)
Reverse-Engineering the Reader
by: Kiegeland, Samuel, et al.
Published: (2024)
by: Kiegeland, Samuel, et al.
Published: (2024)
Structured Voronoi Sampling
by: Amini, Afra, et al.
Published: (2023)
by: Amini, Afra, et al.
Published: (2023)
The Foundations of Tokenization: Statistical and Computational Concerns
by: Gastaldi, Juan Luis, et al.
Published: (2024)
by: Gastaldi, Juan Luis, et al.
Published: (2024)
Filtered Direct Preference Optimization
by: Morimura, Tetsuro, et al.
Published: (2024)
by: Morimura, Tetsuro, et al.
Published: (2024)
Is Active Persona Inference Necessary for Aligning Small Models to Personal Preferences?
by: Tang, Zilu, et al.
Published: (2025)
by: Tang, Zilu, et al.
Published: (2025)
Entropy Controllable Direct Preference Optimization
by: Omura, Motoki, et al.
Published: (2024)
by: Omura, Motoki, et al.
Published: (2024)
Orthogonal Finetuning for Direct Preference Optimization
by: Yang, Chenxu, et al.
Published: (2024)
by: Yang, Chenxu, et al.
Published: (2024)
Transformers Can Represent $n$-gram Language Models
by: Svete, Anej, et al.
Published: (2024)
by: Svete, Anej, et al.
Published: (2024)
Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization
by: Razin, Noam, et al.
Published: (2024)
by: Razin, Noam, et al.
Published: (2024)
Gumbel Counterfactual Generation From Language Models
by: Ravfogel, Shauli, et al.
Published: (2024)
by: Ravfogel, Shauli, et al.
Published: (2024)
AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization
by: Wu, Junkang, et al.
Published: (2024)
by: Wu, Junkang, et al.
Published: (2024)
Ensembling Language Models with Sequential Monte Carlo
by: Chan, Robin Shing Moon, et al.
Published: (2026)
by: Chan, Robin Shing Moon, et al.
Published: (2026)
Online DPO: Online Direct Preference Optimization with Fast-Slow Chasing
by: Qi, Biqing, et al.
Published: (2024)
by: Qi, Biqing, et al.
Published: (2024)
Inducing Robustness in a 2 Dimensional Direct Preference Optimization Paradigm
by: Shashidhar, Sarvesh, et al.
Published: (2025)
by: Shashidhar, Sarvesh, et al.
Published: (2025)
Differential Information Distribution: A Bayesian Perspective on Direct Preference Optimization
by: Won, Yunjae, et al.
Published: (2025)
by: Won, Yunjae, et al.
Published: (2025)
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences
by: Rosset, Corby, et al.
Published: (2024)
by: Rosset, Corby, et al.
Published: (2024)
A Comprehensive Survey of Direct Preference Optimization: Datasets, Theories, Variants, and Applications
by: Xiao, Wenyi, et al.
Published: (2024)
by: Xiao, Wenyi, et al.
Published: (2024)
Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization
by: Wu, Junkang, et al.
Published: (2024)
by: Wu, Junkang, et al.
Published: (2024)
TGDPO: Harnessing Token-Level Reward Guidance for Enhancing Direct Preference Optimization
by: Zhu, Mingkang, et al.
Published: (2025)
by: Zhu, Mingkang, et al.
Published: (2025)
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
by: Rafailov, Rafael, et al.
Published: (2023)
by: Rafailov, Rafael, et al.
Published: (2023)
Mix- and MoE-DPO: A Variational Inference Approach to Direct Preference Optimization
by: Bohne, Jason, et al.
Published: (2025)
by: Bohne, Jason, et al.
Published: (2025)
On the Role of Preference Variance in Preference Optimization
by: Guo, Jiacheng, et al.
Published: (2025)
by: Guo, Jiacheng, et al.
Published: (2025)
Spread Preference Annotation: Direct Preference Judgment for Efficient LLM Alignment
by: Kim, Dongyoung, et al.
Published: (2024)
by: Kim, Dongyoung, et al.
Published: (2024)
Offset Unlearning for Large Language Models
by: Huang, James Y., et al.
Published: (2024)
by: Huang, James Y., et al.
Published: (2024)
Pointwise Mutual Information as a Performance Gauge for Retrieval-Augmented Generation
by: Liu, Tianyu, et al.
Published: (2024)
by: Liu, Tianyu, et al.
Published: (2024)
Geometric-Averaged Preference Optimization for Soft Preference Labels
by: Furuta, Hiroki, et al.
Published: (2024)
by: Furuta, Hiroki, et al.
Published: (2024)
Correcting the Mythos of KL-Regularization: Direct Alignment without Overoptimization via Chi-Squared Preference Optimization
by: Huang, Audrey, et al.
Published: (2024)
by: Huang, Audrey, et al.
Published: (2024)
Learning to Reason Efficiently with A* Post-Training
by: Opedal, Andreas, et al.
Published: (2026)
by: Opedal, Andreas, et al.
Published: (2026)
Self-Consistency Preference Optimization
by: Prasad, Archiki, et al.
Published: (2024)
by: Prasad, Archiki, et al.
Published: (2024)
Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective Rewards
by: Wang, Haoxiang, et al.
Published: (2024)
by: Wang, Haoxiang, et al.
Published: (2024)
Revisiting Padded Transformer Expressivity: Which Architectural Choices Matter and Which Don't
by: Svete, Anej, et al.
Published: (2026)
by: Svete, Anej, et al.
Published: (2026)
Stable Preference Optimization: A Bilevel Approach to Catastrophic Preference Shift
by: Jian, Chengtao, et al.
Published: (2025)
by: Jian, Chengtao, et al.
Published: (2025)
AMPO: Active Multi-Preference Optimization for Self-play Preference Selection
by: Gupta, Taneesh, et al.
Published: (2025)
by: Gupta, Taneesh, et al.
Published: (2025)
Fast Controlled Generation from Language Models with Adaptive Weighted Rejection Sampling
by: Lipkin, Benjamin, et al.
Published: (2025)
by: Lipkin, Benjamin, et al.
Published: (2025)
Principled Gradient-based Markov Chain Monte Carlo for Text Generation
by: Du, Li, et al.
Published: (2023)
by: Du, Li, et al.
Published: (2023)
Iterative Length-Regularized Direct Preference Optimization: A Case Study on Improving 7B Language Models to GPT-4 Level
by: Liu, Jie, et al.
Published: (2024)
by: Liu, Jie, et al.
Published: (2024)
Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners?
by: Opedal, Andreas, et al.
Published: (2024)
by: Opedal, Andreas, et al.
Published: (2024)
Similar Items
-
Better Estimation of the Kullback--Leibler Divergence Between Language Models
by: Amini, Afra, et al.
Published: (2025) -
Variational Best-of-N Alignment
by: Amini, Afra, et al.
Published: (2024) -
Syntactic Control of Language Models by Posterior Inference
by: Xefteri, Vicky, et al.
Published: (2025) -
Reverse-Engineering the Reader
by: Kiegeland, Samuel, et al.
Published: (2024) -
Structured Voronoi Sampling
by: Amini, Afra, et al.
Published: (2023)