Saved in:
| Main Authors: | Jia, Zhiwei, Nan, Yuesong, Zhao, Huixi, Liu, Gengdai |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.15247 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Directly Fine-Tuning Diffusion Models on Differentiable Rewards
by: Clark, Kevin, et al.
Published: (2023)
by: Clark, Kevin, et al.
Published: (2023)
Reward Sharpness-Aware Fine-Tuning for Diffusion Models
by: Kim, Kwanyoung, et al.
Published: (2026)
by: Kim, Kwanyoung, et al.
Published: (2026)
Fine-Tuning Language Models with Reward Learning on Policy
by: Lang, Hao, et al.
Published: (2024)
by: Lang, Hao, et al.
Published: (2024)
Iterative Distillation for Reward-Guided Fine-Tuning of Diffusion Models in Biomolecular Design
by: Su, Xingyu, et al.
Published: (2025)
by: Su, Xingyu, et al.
Published: (2025)
Iterative Foundation Model Fine-Tuning on Multiple Rewards
by: Ghari, Pouya M., et al.
Published: (2025)
by: Ghari, Pouya M., et al.
Published: (2025)
Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design
by: Wang, Chenyu, et al.
Published: (2024)
by: Wang, Chenyu, et al.
Published: (2024)
PIRF: Physics-Informed Reward Fine-Tuning for Diffusion Models
by: Yuan, Mingze, et al.
Published: (2025)
by: Yuan, Mingze, et al.
Published: (2025)
RIFT: Repurposing Negative Samples via Reward-Informed Fine-Tuning
by: Liu, Zehua, et al.
Published: (2026)
by: Liu, Zehua, et al.
Published: (2026)
The Trajectory Alignment Coefficient in Two Acts: From Reward Tuning to Reward Learning
by: Muslimani, Calarina, et al.
Published: (2026)
by: Muslimani, Calarina, et al.
Published: (2026)
Diffusion Reward: Learning Rewards via Conditional Video Diffusion
by: Huang, Tao, et al.
Published: (2023)
by: Huang, Tao, et al.
Published: (2023)
Step-wise Rubric Rewards for LLM Reasoning
by: Xie, Weichu, et al.
Published: (2026)
by: Xie, Weichu, et al.
Published: (2026)
Aligning Few-Step Diffusion Models with Dense Reward Difference Learning
by: Zhang, Ziyi, et al.
Published: (2024)
by: Zhang, Ziyi, et al.
Published: (2024)
Fine-Tuning Diffusion-Based Recommender Systems via Reinforcement Learning with Reward Function Optimization
by: Hou, Yu, et al.
Published: (2025)
by: Hou, Yu, et al.
Published: (2025)
Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learning
by: Chiang, Chia-Cheng, et al.
Published: (2024)
by: Chiang, Chia-Cheng, et al.
Published: (2024)
Portable Reward Tuning: Towards Reusable Fine-Tuning across Different Pretrained Models
by: Chijiwa, Daiki, et al.
Published: (2025)
by: Chijiwa, Daiki, et al.
Published: (2025)
Reward Score Matching: Unifying Reward-based Fine-tuning for Flow and Diffusion Models
by: Lee, Jeongjae, et al.
Published: (2026)
by: Lee, Jeongjae, et al.
Published: (2026)
What Are Step-Level Reward Models Rewarding? Counterintuitive Findings from MCTS-Boosted Mathematical Reasoning
by: Ma, Yiran, et al.
Published: (2024)
by: Ma, Yiran, et al.
Published: (2024)
Beyond Semantic Manipulation: Token-Space Attacks on Reward Models
by: Zhang, Yuheng, et al.
Published: (2026)
by: Zhang, Yuheng, et al.
Published: (2026)
Offline RL by Reward-Weighted Fine-Tuning for Conversation Optimization
by: Mukherjee, Subhojyoti, et al.
Published: (2025)
by: Mukherjee, Subhojyoti, et al.
Published: (2025)
Multi-Armed Bandits With Machine Learning-Generated Surrogate Rewards
by: Ji, Wenlong, et al.
Published: (2025)
by: Ji, Wenlong, et al.
Published: (2025)
Efficient Differentially Private Fine-Tuning of Diffusion Models
by: Liu, Jing, et al.
Published: (2024)
by: Liu, Jing, et al.
Published: (2024)
Representation Without Reward: A JEPA Audit for LLM Fine-Tuning
by: Sengupta, Biswa
Published: (2026)
by: Sengupta, Biswa
Published: (2026)
Rethinking Reinforcement Fine-Tuning in LVLM: Convergence, Reward Decomposition, and Generalization
by: Adams, Carter, et al.
Published: (2026)
by: Adams, Carter, et al.
Published: (2026)
Fine-tuning Language Models with Generative Adversarial Reward Modelling
by: Yu, Zhang Ze, et al.
Published: (2023)
by: Yu, Zhang Ze, et al.
Published: (2023)
FunPRM: Function-as-Step Process Reward Model with Meta Reward Correction for Code Generation
by: Zhang, Ruiyi, et al.
Published: (2026)
by: Zhang, Ruiyi, et al.
Published: (2026)
Generalizing Reward Modeling for Out-of-Distribution Preference Learning
by: Jia, Chen
Published: (2024)
by: Jia, Chen
Published: (2024)
Probabilistic Uncertain Reward Model
by: Sun, Wangtao, et al.
Published: (2025)
by: Sun, Wangtao, et al.
Published: (2025)
Online Reward-Weighted Fine-Tuning of Flow Matching with Wasserstein Regularization
by: Fan, Jiajun, et al.
Published: (2025)
by: Fan, Jiajun, et al.
Published: (2025)
Fight Fire with Fire: Defending Against Malicious RL Fine-Tuning via Reward Neutralization
by: Cao, Wenjun
Published: (2025)
by: Cao, Wenjun
Published: (2025)
Text2Reward: Reward Shaping with Language Models for Reinforcement Learning
by: Xie, Tianbao, et al.
Published: (2023)
by: Xie, Tianbao, et al.
Published: (2023)
Goal-Driven Reward by Video Diffusion Models for Reinforcement Learning
by: Wang, Qi, et al.
Published: (2025)
by: Wang, Qi, et al.
Published: (2025)
SemiReward: A General Reward Model for Semi-supervised Learning
by: Li, Siyuan, et al.
Published: (2023)
by: Li, Siyuan, et al.
Published: (2023)
PREFINE: Preference-Based Implicit Reward and Cost Fine-Tuning for Safety Alignment
by: Verma, Richa, et al.
Published: (2026)
by: Verma, Richa, et al.
Published: (2026)
Reward-Directed Score-Based Diffusion Models via q-Learning
by: Gao, Xuefeng, et al.
Published: (2024)
by: Gao, Xuefeng, et al.
Published: (2024)
Diffusion-Reward Adversarial Imitation Learning
by: Lai, Chun-Mao, et al.
Published: (2024)
by: Lai, Chun-Mao, et al.
Published: (2024)
Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning
by: Qu, Yun, et al.
Published: (2024)
by: Qu, Yun, et al.
Published: (2024)
RewardBench: Evaluating Reward Models for Language Modeling
by: Lambert, Nathan, et al.
Published: (2024)
by: Lambert, Nathan, et al.
Published: (2024)
Focal Reward: Balanced Reinforcement Learning under Rubric-Based Rewards
by: Huang, Yu, et al.
Published: (2026)
by: Huang, Yu, et al.
Published: (2026)
Personalized RewardBench: Evaluating Reward Models with Human Aligned Personalization
by: Ma, Qiyao, et al.
Published: (2026)
by: Ma, Qiyao, et al.
Published: (2026)
PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models
by: Deng, Fei, et al.
Published: (2024)
by: Deng, Fei, et al.
Published: (2024)
Similar Items
-
Directly Fine-Tuning Diffusion Models on Differentiable Rewards
by: Clark, Kevin, et al.
Published: (2023) -
Reward Sharpness-Aware Fine-Tuning for Diffusion Models
by: Kim, Kwanyoung, et al.
Published: (2026) -
Fine-Tuning Language Models with Reward Learning on Policy
by: Lang, Hao, et al.
Published: (2024) -
Iterative Distillation for Reward-Guided Fine-Tuning of Diffusion Models in Biomolecular Design
by: Su, Xingyu, et al.
Published: (2025) -
Iterative Foundation Model Fine-Tuning on Multiple Rewards
by: Ghari, Pouya M., et al.
Published: (2025)