Research2h ago
Apple Introduces Latent Diffusion For LLM Reasoning
LaDiR integrates latent diffusion models with existing LLMs to overcome the limits of autoregressive decoding. This framework allows models to iteratively refine reasoning paths in a continuous latent space rather than just predicting the next token. Apple researchers aim to improve solution exploration and holistic refinement for complex text reasoning tasks.