Pre-DPO: Improving Data Utilization in Direct Preference Optimization Using a Guiding Reference Model
Fuente:
arXiv
Saved in:
| Main Authors: | Pan, Junshu, Shen, Wei, Huang, Shulin, Zhou, Qiji, Zhang, Yue |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Beyond English-Centric Training: How Reinforcement Learning Improves Cross-Lingual Reasoning in LLMs
by: Huang, Shulin, et al.
Published: (2025)
by: Huang, Shulin, et al.
Published: (2025)
DPO-Shift: Shifting the Distribution of Direct Preference Optimization
by: Yang, Xiliang, et al.
Published: (2025)
by: Yang, Xiliang, et al.
Published: (2025)
MCM-DPO: Multifaceted Cross-Modal Direct Preference Optimization for Alt-text Generation
by: Fu, Jinlan, et al.
Published: (2025)
by: Fu, Jinlan, et al.
Published: (2025)
BiasDPO: Mitigating Bias in Language Models through Direct Preference Optimization
by: Allam, Ahmed
Published: (2024)
by: Allam, Ahmed
Published: (2024)
Cal-DPO: Calibrated Direct Preference Optimization for Language Model Alignment
by: Xiao, Teng, et al.
Published: (2024)
by: Xiao, Teng, et al.
Published: (2024)
Online DPO: Online Direct Preference Optimization with Fast-Slow Chasing
by: Qi, Biqing, et al.
Published: (2024)
by: Qi, Biqing, et al.
Published: (2024)
GroupDPO: Memory efficient Group-wise Direct Preference Optimization
by: Leng, Jixuan, et al.
Published: (2026)
by: Leng, Jixuan, et al.
Published: (2026)
2D-DPO: Scaling Direct Preference Optimization with 2-Dimensional Supervision
by: Li, Shilong, et al.
Published: (2024)
by: Li, Shilong, et al.
Published: (2024)
AiraXiv: An AI-Driven Open-Access Platform for Human and AI Scientists
by: Pan, Junshu, et al.
Published: (2026)
by: Pan, Junshu, et al.
Published: (2026)
AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization
by: Wu, Junkang, et al.
Published: (2024)
by: Wu, Junkang, et al.
Published: (2024)
mDPO: Conditional Preference Optimization for Multimodal Large Language Models
by: Wang, Fei, et al.
Published: (2024)
by: Wang, Fei, et al.
Published: (2024)
DreamDPO: Aligning Text-to-3D Generation with Human Preferences via Direct Preference Optimization
by: Zhou, Zhenglin, et al.
Published: (2025)
by: Zhou, Zhenglin, et al.
Published: (2025)
AdaDPO: Self-Adaptive Direct Preference Optimization with Balanced Gradient Updates
by: Chen, Shaolong, et al.
Published: (2026)
by: Chen, Shaolong, et al.
Published: (2026)
DiaTool-DPO: Multi-Turn Direct Preference Optimization for Tool-Augmented Large Language Models
by: Jung, Sunghee, et al.
Published: (2025)
by: Jung, Sunghee, et al.
Published: (2025)
Bridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization
by: Jiang, Yuxin, et al.
Published: (2024)
by: Jiang, Yuxin, et al.
Published: (2024)
InCo-DPO: Balancing Distribution Shift and Data Quality for Enhanced Preference Optimization
by: Wang, Yunan, et al.
Published: (2025)
by: Wang, Yunan, et al.
Published: (2025)
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)
Full-Step-DPO: Self-Supervised Preference Optimization with Step-wise Rewards for Mathematical Reasoning
by: Xu, Huimin, et al.
Published: (2025)
by: Xu, Huimin, et al.
Published: (2025)
Understanding Reference Policies in Direct Preference Optimization
by: Liu, Yixin, et al.
Published: (2024)
by: Liu, Yixin, et al.
Published: (2024)
VERI-DPO: Evidence-Aware Alignment for Clinical Summarization via Claim Verification and Direct Preference Optimization
by: Liu, Weixin, et al.
Published: (2026)
by: Liu, Weixin, et al.
Published: (2026)
TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights
by: Liu, Aiwei, et al.
Published: (2024)
by: Liu, Aiwei, et al.
Published: (2024)
Self-Training with Direct Preference Optimization Improves Chain-of-Thought Reasoning
by: Wang, Tianduo, et al.
Published: (2024)
by: Wang, Tianduo, et al.
Published: (2024)
Proximalized Preference Optimization for Diverse Feedback Types: A Decomposed Perspective on DPO
by: Guo, Kaiyang, et al.
Published: (2025)
by: Guo, Kaiyang, et al.
Published: (2025)
RS-DPO: A Hybrid Rejection Sampling and Direct Preference Optimization Method for Alignment of Large Language Models
by: Khaki, Saeed, et al.
Published: (2024)
by: Khaki, Saeed, et al.
Published: (2024)
Multi-Preference Optimization: Generalizing DPO via Set-Level Contrasts
by: Gupta, Taneesh, et al.
Published: (2024)
by: Gupta, Taneesh, et al.
Published: (2024)
Direct Judgement Preference Optimization
by: Wang, Peifeng, et al.
Published: (2024)
by: Wang, Peifeng, et al.
Published: (2024)
Uni-DPO: A Unified Paradigm for Dynamic Preference Optimization of LLMs
by: Peng, Shangpin, et al.
Published: (2025)
by: Peng, Shangpin, et al.
Published: (2025)
Understanding the Performance Gap in Preference Learning: A Dichotomy of RLHF and DPO
by: Shi, Ruizhe, et al.
Published: (2025)
by: Shi, Ruizhe, et al.
Published: (2025)
BPO: Revisiting Preference Modeling in Direct Preference Optimization
by: Sun, Lin, et al.
Published: (2025)
by: Sun, Lin, et al.
Published: (2025)
AIPO: Improving Training Objective for Iterative Preference Optimization
by: Shen, Yaojie, et al.
Published: (2024)
by: Shen, Yaojie, et al.
Published: (2024)
SignDPO: Multi-level Direct Preference Optimisation for Skeleton-based Gloss-free Sign Language Translation
by: Pu, Muxin, et al.
Published: (2026)
by: Pu, Muxin, et al.
Published: (2026)
Mixed Preference Optimization: Reinforcement Learning with Data Selection and Better Reference Model
by: Gou, Qi, et al.
Published: (2024)
by: Gou, Qi, et al.
Published: (2024)
DPO Kernels: A Semantically-Aware, Kernel-Enhanced, and Divergence-Rich Paradigm for Direct Preference Optimization
by: Das, Amitava, et al.
Published: (2025)
by: Das, Amitava, et al.
Published: (2025)
MixDPO: Modeling Preference Strength for Pluralistic Alignment
by: Imai, Saki, et al.
Published: (2026)
by: Imai, Saki, et al.
Published: (2026)
Decoupling Content and Expression: Two-Dimensional Detection of AI-Generated Text
by: Bao, Guangsheng, et al.
Published: (2025)
by: Bao, Guangsheng, et al.
Published: (2025)
MCEval: A Dynamic Framework for Fair Multilingual Cultural Evaluation of LLMs
by: Huang, Shulin, et al.
Published: (2025)
by: Huang, Shulin, et al.
Published: (2025)
Sem-DPO: Mitigating Semantic Inconsistency in Preference Optimization for Prompt Engineering
by: Mohamed, Anas, et al.
Published: (2025)
by: Mohamed, Anas, et al.
Published: (2025)
Image-of-Thought Prompting for Visual Reasoning Refinement in Multimodal Large Language Models
by: Zhou, Qiji, et al.
Published: (2024)
by: Zhou, Qiji, et al.
Published: (2024)
Aligning Teacher with Student Preferences for Tailored Training Data Generation
by: Liu, Yantao, et al.
Published: (2024)
by: Liu, Yantao, et al.
Published: (2024)
Difficulty-Based Preference Data Selection by DPO Implicit Reward Gap
by: Qi, Xuan, et al.
Published: (2025)
by: Qi, Xuan, et al.
Published: (2025)
Similar Items
-
Beyond English-Centric Training: How Reinforcement Learning Improves Cross-Lingual Reasoning in LLMs
by: Huang, Shulin, et al.
Published: (2025) -
DPO-Shift: Shifting the Distribution of Direct Preference Optimization
by: Yang, Xiliang, et al.
Published: (2025) -
MCM-DPO: Multifaceted Cross-Modal Direct Preference Optimization for Alt-text Generation
by: Fu, Jinlan, et al.
Published: (2025) -
BiasDPO: Mitigating Bias in Language Models through Direct Preference Optimization
by: Allam, Ahmed
Published: (2024) -
Cal-DPO: Calibrated Direct Preference Optimization for Language Model Alignment
by: Xiao, Teng, et al.
Published: (2024)