Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025)

Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...

2026 Advanced GenAI Course Focused on Large Language Models and Diffusion Systems Launched by Interview Kickstart

SANTA CLARA, CA - January 13, 2026 - - As generative artificial intelligence continues to influence how software is designed, ...
GitHub

DiffusionVL: Translating Any Autoregressive Models into

The diffusion paradigm has emerged as a promising alternative to autoregressive (AR) models, offering the potential for efficient parallel decoding. However, existing diffusion vision language models ...
IEEE

Dependency-Aware CAV Task Scheduling Via Diffusion-Based Reinforcement Learning

Abstract: In this paper, we investigate a dependency-aware task scheduling problem in connected autonomous vehicle (CAV) networks. Specifically, each CAV task consists of multiple dependent subtasks, ...
GitHub

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

We propose TraceRL, a trajectory-aware reinforcement learning method for diffusion language models, which demonstrates the best performance among RL approaches for DLMs. We also introduce a ...
IEEE

Novel Multi-Pedestrian Detection and Tracking Framework Combining Machine and Deep Learning Schemes to Anisotropic Diffusion-Based Models

Abstract: An automatic multiple pedestrian detection and counting framework is introduced in this research paper. The proposed system combines successfully several computer vision and nonlinear ...