Refined Direct Preference Optimization with Synthetic Data for Behavioral Alignment of LLMs
Fuente:
arXiv
Saved in:
| Main Author: | Gallego, Víctor |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Distilled Self-Critique of LLMs with Synthetic Data: a Bayesian Perspective
by: Gallego, Victor
Published: (2023)
by: Gallego, Victor
Published: (2023)
Cal-DPO: Calibrated Direct Preference Optimization for Language Model Alignment
by: Xiao, Teng, et al.
Published: (2024)
by: Xiao, Teng, 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)
FedPDPO: Federated Personalized Direct Preference Optimization for Large Language Model Alignment
by: Zhu, Kewen, et al.
Published: (2026)
by: Zhu, Kewen, et al.
Published: (2026)
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)
Length Desensitization in Direct Preference Optimization
by: Liu, Wei, et al.
Published: (2024)
by: Liu, Wei, et al.
Published: (2024)
Course-Correction: Safety Alignment Using Synthetic Preferences
by: Xu, Rongwu, et al.
Published: (2024)
by: Xu, Rongwu, 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)
Direct Behavior Optimization: Unlocking the Potential of Lightweight LLMs
by: Yang, Hongming, et al.
Published: (2025)
by: Yang, Hongming, 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)
Accelerating Direct Preference Optimization with Prefix Sharing
by: Wang, Franklin, et al.
Published: (2024)
by: Wang, Franklin, et al.
Published: (2024)
Spread Preference Annotation: Direct Preference Judgment for Efficient LLM Alignment
by: Kim, Dongyoung, et al.
Published: (2024)
by: Kim, Dongyoung, et al.
Published: (2024)
Filtered Direct Preference Optimization
by: Morimura, Tetsuro, et al.
Published: (2024)
by: Morimura, Tetsuro, et al.
Published: (2024)
Direct Preference Optimization with an Offset
by: Amini, Afra, et al.
Published: (2024)
by: Amini, Afra, et al.
Published: (2024)
Direct Multi-Turn Preference Optimization for Language Agents
by: Shi, Wentao, et al.
Published: (2024)
by: Shi, Wentao, et al.
Published: (2024)
The Crucial Role of Samplers in Online Direct Preference Optimization
by: Shi, Ruizhe, et al.
Published: (2024)
by: Shi, Ruizhe, et al.
Published: (2024)
Disentangling Length from Quality in Direct Preference Optimization
by: Park, Ryan, et al.
Published: (2024)
by: Park, Ryan, et al.
Published: (2024)
Enhancing LLM Safety via Constrained Direct Preference Optimization
by: Liu, Zixuan, et al.
Published: (2024)
by: Liu, Zixuan, 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)
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)
Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs
by: Zhang, Xuan, et al.
Published: (2024)
by: Zhang, Xuan, et al.
Published: (2024)
Self-Augmented Preference Optimization: Off-Policy Paradigms for Language Model Alignment
by: Yin, Yueqin, et al.
Published: (2024)
by: Yin, Yueqin, et al.
Published: (2024)
Reward-aware Preference Optimization: A Unified Mathematical Framework for Model Alignment
by: Sun, Shengyang, et al.
Published: (2025)
by: Sun, Shengyang, et al.
Published: (2025)
Configurable Preference Tuning with Rubric-Guided Synthetic Data
by: Gallego, Víctor
Published: (2025)
by: Gallego, Víctor
Published: (2025)
Accelerated Preference Optimization for Large Language Model Alignment
by: He, Jiafan, et al.
Published: (2024)
by: He, Jiafan, et al.
Published: (2024)
Self-Play Preference Optimization for Language Model Alignment
by: Wu, Yue, et al.
Published: (2024)
by: Wu, Yue, et al.
Published: (2024)
Evolving LLMs' Self-Refinement Capability via Synergistic Training-Inference Optimization
by: Zeng, Yongcheng, et al.
Published: (2025)
by: Zeng, Yongcheng, et al.
Published: (2025)
Enhancing Low-Resource LLMs Classification with PEFT and Synthetic Data
by: Patwa, Parth, et al.
Published: (2024)
by: Patwa, Parth, et al.
Published: (2024)
Balancing Cost and Effectiveness of Synthetic Data Generation Strategies for LLMs
by: Chan, Yung-Chieh, et al.
Published: (2024)
by: Chan, Yung-Chieh, et al.
Published: (2024)
Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs
by: Zhao, Siyan, et al.
Published: (2025)
by: Zhao, Siyan, et al.
Published: (2025)
Modulated Intervention Preference Optimization (MIPO): Keep the Easy, Refine the Difficult
by: Jang, Cheolhun
Published: (2024)
by: Jang, Cheolhun
Published: (2024)
On the Limited Generalization Capability of the Implicit Reward Model Induced by Direct Preference Optimization
by: Lin, Yong, et al.
Published: (2024)
by: Lin, Yong, et al.
Published: (2024)
AdaDPO: Self-Adaptive Direct Preference Optimization with Balanced Gradient Updates
by: Chen, Shaolong, et al.
Published: (2026)
by: Chen, Shaolong, et al.
Published: (2026)
Configurable Safety Tuning of Language Models with Synthetic Preference Data
by: Gallego, Victor
Published: (2024)
by: Gallego, Victor
Published: (2024)
Advancing Semantic Caching for LLMs with Domain-Specific Embeddings and Synthetic Data
by: Gill, Waris, et al.
Published: (2025)
by: Gill, Waris, et al.
Published: (2025)
Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment
by: D'Oosterlinck, Karel, et al.
Published: (2024)
by: D'Oosterlinck, Karel, et al.
Published: (2024)
Personalized Group Relative Policy Optimization for Heterogenous Preference Alignment
by: Wang, Jialu, et al.
Published: (2026)
by: Wang, Jialu, et al.
Published: (2026)
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)
Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization
by: Razin, Noam, et al.
Published: (2024)
by: Razin, Noam, et al.
Published: (2024)
Similar Items
-
Distilled Self-Critique of LLMs with Synthetic Data: a Bayesian Perspective
by: Gallego, Victor
Published: (2023) -
Cal-DPO: Calibrated Direct Preference Optimization for Language Model Alignment
by: Xiao, Teng, 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) -
FedPDPO: Federated Personalized Direct Preference Optimization for Large Language Model Alignment
by: Zhu, Kewen, et al.
Published: (2026) -
VERI-DPO: Evidence-Aware Alignment for Clinical Summarization via Claim Verification and Direct Preference Optimization
by: Liu, Weixin, et al.
Published: (2026)