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The repository contains the code for the DRAKES method presented in the paper: Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein design (ICLR 2025). DRAKES is a fine-tuning method for reward optimization or alignment in discrete diffusion models,…
The main features of chenyuwang-monica/drakes are: Applications, Applied Diffusion Models, Training and Alignment.
Projects with overlapping indexed features include: bytedance/dplm — This repository contains the official implementation of training and inference as well as the pre-trained weights for… apple/ml-diffucoder — This software project accompanies the research paper, DiffuCoder: Understanding and Improving Masked Diffusion Models… amayama/xdlm. apple/ml-planner — PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model. autonomousvision/mdpo — [[Paper]](https://arxiv.org/pdf/2508.13148) [[Project]](https://cli212.github.io/MDPO/). amap-ml/ar-map — Are Autoregressive Large Language Models Implicit Teachers for Diffusion Large Language Models? A comprehensive…
This repository contains the official implementation of training and inference as well as the pre-trained weights for the Family of Diffusion Protein Language Models (DPLM), including: - DPLM from ICML'24 paper "Diffusion Language Models Are Versatile Protein Learners", which introduces…
This software project accompanies the research paper, DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation.
Are Autoregressive Large Language Models Implicit Teachers for Diffusion Large Language Models? A comprehensive framework for transferring alignment knowledge from AR-LLMs to Diffusion Models