OPD+: Rethinking the Advantage Design for On-Policy Distillation
Fuente:
arXiv
Saved in:
| Main Authors: | Zhao, Hanyang, Chen, Haoxian, Lin, Han, Winata, Genta Indra, Yao, David, Tang, Wenpin |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
RPO: Fine-Tuning Visual Generative Models via Rich Vision-Language Preferences
by: Zhao, Hanyang, et al.
Published: (2025)
by: Zhao, Hanyang, et al.
Published: (2025)
MallowsPO: Fine-Tune Your LLM with Preference Dispersions
by: Chen, Haoxian, et al.
Published: (2024)
by: Chen, Haoxian, et al.
Published: (2024)
Scores as Actions: a framework of fine-tuning diffusion models by continuous-time reinforcement learning
by: Zhao, Hanyang, et al.
Published: (2024)
by: Zhao, Hanyang, et al.
Published: (2024)
Understanding Sampler Stochasticity in Training Diffusion Models for RLHF
by: Sheng, Jiayuan, et al.
Published: (2025)
by: Sheng, Jiayuan, et al.
Published: (2025)
Score as Action: Fine-Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning
by: Zhao, Hanyang, et al.
Published: (2025)
by: Zhao, Hanyang, et al.
Published: (2025)
Preference Tuning with Human Feedback on Language, Speech, and Vision Tasks: A Survey
by: Winata, Genta Indra, et al.
Published: (2024)
by: Winata, Genta Indra, et al.
Published: (2024)
RainbowPO: A Unified Framework for Combining Improvements in Preference Optimization
by: Zhao, Hanyang, et al.
Published: (2024)
by: Zhao, Hanyang, et al.
Published: (2024)
DiFFPO: Training Diffusion LLMs to Reason Fast and Furious via Reinforcement Learning
by: Zhao, Hanyang, et al.
Published: (2025)
by: Zhao, Hanyang, et al.
Published: (2025)
R3: Robust Rubric-Agnostic Reward Models
by: Anugraha, David, et al.
Published: (2025)
by: Anugraha, David, et al.
Published: (2025)
Optimizing Reasoning Efficiency through Prompt Difficulty Prediction
by: Zhao, Bo, et al.
Published: (2025)
by: Zhao, Bo, et al.
Published: (2025)
Prune-OPD: Efficient and Reliable On-Policy Distillation for Long-Horizon Reasoning
by: Yang, Zhicheng, et al.
Published: (2026)
by: Yang, Zhicheng, et al.
Published: (2026)
MetaMetrics-MT: Tuning Meta-Metrics for Machine Translation via Human Preference Calibration
by: Anugraha, David, et al.
Published: (2024)
by: Anugraha, David, et al.
Published: (2024)
Lightning OPD: Efficient Post-Training for Large Reasoning Models with Offline On-Policy Distillation
by: Wu, Yecheng, et al.
Published: (2026)
by: Wu, Yecheng, et al.
Published: (2026)
$\boldsymbol{f}$-OPD: Stabilizing Long-Horizon On-Policy Distillation with Freshness-Aware Control
by: Chen, Xianwei, et al.
Published: (2026)
by: Chen, Xianwei, et al.
Published: (2026)
DP-OPD: Differentially Private On-Policy Distillation for Language Models
by: Khadem, Fatemeh, et al.
Published: (2026)
by: Khadem, Fatemeh, et al.
Published: (2026)
mR3: Multilingual Rubric-Agnostic Reward Reasoning Models
by: Anugraha, David, et al.
Published: (2025)
by: Anugraha, David, et al.
Published: (2025)
MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate
by: Wang, Jianze, et al.
Published: (2026)
by: Wang, Jianze, et al.
Published: (2026)
MetaMetrics: Calibrating Metrics For Generation Tasks Using Human Preferences
by: Winata, Genta Indra, et al.
Published: (2024)
by: Winata, Genta Indra, et al.
Published: (2024)
Leveraging Parameter Space Symmetries for Reasoning Skill Transfer in LLMs
by: Horoi, Stefan, et al.
Published: (2025)
by: Horoi, Stefan, et al.
Published: (2025)
Vision-OPD: Learning to See Fine Details for Multimodal LLMs via On-Policy Self-Distillation
by: Yuan, Qianhao, et al.
Published: (2026)
by: Yuan, Qianhao, et al.
Published: (2026)
Diffusion Generative Models Meet Compressed Sensing, with Applications to Imaging and Finance
by: Guo, Zhengyi, et al.
Published: (2025)
by: Guo, Zhengyi, et al.
Published: (2025)
Contractive Diffusion Probabilistic Models
by: Tang, Wenpin, et al.
Published: (2024)
by: Tang, Wenpin, et al.
Published: (2024)
Routing with Generated Data: Annotation-Free LLM Skill Estimation and Expert Selection
by: Niu, Tianyi, et al.
Published: (2026)
by: Niu, Tianyi, et al.
Published: (2026)
ProteinOPD: Towards Effective and Efficient Preference Alignment for Protein Design
by: Zhang, Yulin, et al.
Published: (2026)
by: Zhang, Yulin, et al.
Published: (2026)
Score-based Diffusion Models via Stochastic Differential Equations -- a Technical Tutorial
by: Tang, Wenpin, et al.
Published: (2024)
by: Tang, Wenpin, et al.
Published: (2024)
Decoupling KL and Trajectories: A Unified Perspective for SFT, DAgger, Offline RL, and OPD in LLM Distillation
by: Zhao, Anhao, et al.
Published: (2026)
by: Zhao, Anhao, et al.
Published: (2026)
SOCRATES: Simulation Optimization with Correlated Replicas and Adaptive Trajectory Evaluations
by: Zhang, Haoting, et al.
Published: (2025)
by: Zhang, Haoting, et al.
Published: (2025)
Flow-OPD: On-Policy Distillation for Flow Matching Models
by: Fang, Zhen, et al.
Published: (2026)
by: Fang, Zhen, et al.
Published: (2026)
IndoPref: A Multi-Domain Pairwise Preference Dataset for Indonesian
by: Wiyono, Vanessa Rebecca, et al.
Published: (2025)
by: Wiyono, Vanessa Rebecca, et al.
Published: (2025)
Crosslingual Reasoning through Test-Time Scaling
by: Yong, Zheng-Xin, et al.
Published: (2025)
by: Yong, Zheng-Xin, et al.
Published: (2025)
Rethinking the Role of Temperature in Large Language Model Distillation
by: Luong, Hoang-Chau, et al.
Published: (2026)
by: Luong, Hoang-Chau, et al.
Published: (2026)
Teach Harder, Learn Poorer: Rethinking Hard Sample Distillation for GNN-to-MLP Knowledge Distillation
by: Wu, Lirong, et al.
Published: (2024)
by: Wu, Lirong, et al.
Published: (2024)
PatchDecomp: Interpretable Patch-Based Time Series Forecasting
by: Tomioka, Hiroki, et al.
Published: (2026)
by: Tomioka, Hiroki, et al.
Published: (2026)
Extreme Region Policy Distillation
by: Chen, Changyu, et al.
Published: (2026)
by: Chen, Changyu, et al.
Published: (2026)
Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe
by: Li, Yaxuan, et al.
Published: (2026)
by: Li, Yaxuan, et al.
Published: (2026)
TextGames: Learning to Self-Play Text-Based Puzzle Games via Language Model Reasoning
by: Hudi, Frederikus, et al.
Published: (2025)
by: Hudi, Frederikus, et al.
Published: (2025)
Smooth Gate Functions for Soft Advantage Policy Optimization
by: Denisov, Egor, et al.
Published: (2026)
by: Denisov, Egor, et al.
Published: (2026)
ADWIN: Adaptive Windows for Horizon-Aware On-Policy Distillation
by: Liang, Kun, et al.
Published: (2026)
by: Liang, Kun, et al.
Published: (2026)
ADORA: Training Reasoning Models with Dynamic Advantage Estimation on Reinforcement Learning
by: Ren, Qingnan, et al.
Published: (2026)
by: Ren, Qingnan, et al.
Published: (2026)
How to Allocate, How to Learn? Dynamic Rollout Allocation and Advantage Modulation for Policy Optimization
by: Fang, Yangyi, et al.
Published: (2026)
by: Fang, Yangyi, et al.
Published: (2026)
Similar Items
-
RPO: Fine-Tuning Visual Generative Models via Rich Vision-Language Preferences
by: Zhao, Hanyang, et al.
Published: (2025) -
MallowsPO: Fine-Tune Your LLM with Preference Dispersions
by: Chen, Haoxian, et al.
Published: (2024) -
Scores as Actions: a framework of fine-tuning diffusion models by continuous-time reinforcement learning
by: Zhao, Hanyang, et al.
Published: (2024) -
Understanding Sampler Stochasticity in Training Diffusion Models for RLHF
by: Sheng, Jiayuan, et al.
Published: (2025) -
Score as Action: Fine-Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning
by: Zhao, Hanyang, et al.
Published: (2025)