IEEE

Cascaded Autoregressive Diffusion Models for Remote Sensing Scene Generation

Abstract: Recent advancements in generative models, such as generative adversarial networks (GANs) and diffusion-based models, have greatly improved the generation of realistic and diverse remote ...
IEEE

ICDM: Interference Cancellation Diffusion Models for Wireless Semantic Communications

Abstract: Diffusion models (DMs) have recently achieved significant success in wireless communications systems due to their denoising capabilities. The broadcast nature of wireless signals makes them ...
GitHub

Rethinking Flow and Diffusion Bridge Models for Speech Enhancement

This repository contains the appendix, code, and audio samples for the AAAI 2026 oral paper: Rethinking Flow and Diffusion Bridge Models for Speech Enhancement. Encompassing existing flow matching and ...
GitHub

RND1: Scaling Diffusion Language Models

This repository contains an inference harness for Radical Numerics Diffusion 1 (RND1), an experimental diffusion language model. RND1-Base-0910 is a 30B‑parameter sparse Mixture‑of‑Experts model with ...
marktechpost

A Coding Implementation to Establish Rigorous Prompt Versioning and Regression Testing Workflows for Large Language Models using MLflow

In this tutorial, we show how we treat prompts as first-class, versioned artifacts and apply rigorous regression testing to large language model behavior using MLflow. We design an evaluation pipeline ...
marktechpost

How to Align Large Language Models with Human Preferences Using Direct Preference Optimization, QLoRA, and Ultra-Feedback

In this tutorial, we implement an end-to-end Direct Preference Optimization workflow to align a large language model with human preferences without using a reward model. We combine TRL’s DPOTrainer ...