InterleaveThinker: RL Framework for Agentic Text-and-Image Interleaved Generation
A multi-agent pipeline that endows any image generator with interleaved text-image generation capabilities via a planner agent and a critic agent. The team introduces accuracy and step-wise reward mechanisms so that RL can guide full multi-step generation without backpropagating through 25+ generator calls. Results are competitive with GPT-5 on interleaved generation benchmarks, and training also improves base-model performance on reasoning benchmarks.
Why it matters
Interleaved text-and-image generation (illustrated reports, annotated documents) is a key unsolved multimodal capability. This is the #1 HuggingFace Daily Paper for June 12 with 65 upvotes, offering a clean RL recipe applicable on top of existing generators.
Importance: 2/5
#1 HF Daily June 12 (65 upvotes), novel RL recipe for interleaved multimodal generation