In this paper, we propose Proximal Reward Difference Prediction (PRDP), enabling stable black-box reward finetuning for diffusion models for the first time on large-scale prompt datasets with …

2024年2月13日 · In this paper, we propose Proximal Reward Difference Prediction (PRDP), enabling stable black-box reward finetuning for diffusion models for the first time on large …

In this paper, we propose Proximal Reward Dif-ference Prediction (PRDP), enabling stable black-box re-ward finetuning for diffusion models for the first time on large-scale prompt datasets …

This paper presents PRDP, the first black-box reward finetuning method for diffusion models that is stable on large-scale prompt datasets with over 100 100 100 100 K prompts. We achieve …

在本文中，我们提出了近端奖励差异预测（prdp），首次在具有超过 100k 提示的大规模提示数据集上实现了扩散模型的稳定黑盒奖励微调。 我们的关键创新是奖励差异预测（RDP）目标， …

2025年2月26日 · We propose Progressively Refined Differentiable Physics (PRDP), an approach that identifies the level of physics refinement sufficient for full training accuracy. By beginning …

We propose Progressively Refined Differentiable Physics (PRDP), an approach that identifies the level of physics refinement sufficient for full training accuracy. By beginning with coarse …

In this paper we propose Proximal Reward Difference Prediction (PRDP) enabling stable black-box reward finetuning for diffusion models for the first time on large-scale prompt datasets with …

2024年12月6日 · Join us for the kickoff meeting of the 18th World Bank Implementation Support Mission (WB-ISM) to the Philippine Rural Development Project (PRDP) and the 3rd WB-ISM to …

2020年5月4日 · Partial removable dental prostheses (PRDPs) are a non-invasive treatment alternative for partially edentulous patients. The production of PRDP has been revolutionized …