Researchers have developed PiD, a pixel diffusion decoder that directly transforms latent representations into high-resolution images, bypassing the traditional decode-then-super-resolve pipeline. The…
Christian Jacobsen, a researcher specializing in artificial intelligence and machine learning, published a new study on May 20, 2026. The work advances understanding in the field of AI and machine lea…
NVIDIA released Nemotron-Labs-Diffusion, a tri-mode language model that unifies autoregressive, diffusion, and self-speculation decoding within a single architecture. The model, trained with a joint A…
Researchers introduced Iterative Group Relative Policy Optimization (iGRPO), a two-stage reinforcement learning method that improves large language model reasoning by having the model generate and ref…
Researchers have developed RLP, an information-driven reinforcement pretraining objective that integrates exploration and chain-of-thought reasoning into the pretraining phase of large language models…
Researchers have developed Progressive Self-Correction (ProSeCo), a framework that enables masked diffusion models to correct previously generated tokens rather than leaving them fixed. The method reu…