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3 results for “diffusion models”
Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Based Guidance
Researchers propose a new training-free guidance method called SAKE for text diffusion models that uses entropy-based semantic analysis to improve the balance between output fidelity and diversity, with demonstrated gains on code and math generation tasks.
Aug 4, 2026
On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization
A new research paper introduces a practical online adaptation framework for discrete diffusion models in molecular optimization, improving feedback efficiency and reward yield under constrained oracle budgets.
Jul 8, 2026
AI Is Designing Radio Chips That Humans Couldn’t Even Imagine
Princeton researchers demonstrated AI-generated radio-frequency integrated circuits (RFICs) using reinforcement learning and diffusion models, achieving record performance and drastically cutting design time — a breakthrough that could accelerate wireless innovation in 5G/6G, autonomous vehicles, and satellite communications.
Published Jun 24, 2026 · Analyzed Jul 4, 2026