RankE co-evolves discrete text-to-image policy and decoder via alternating optimization to eliminate latent covariate shift, improving both FID and CLIP scores.
OpenSearch-VL introduces an open-source recipe training multimodal deep search agents via curated data, diverse tools, and multi-turn fatal-aware GRPO, achieving over 10-point benchmark gains comparable to proprietary models.
Unify-Agent reframes image synthesis as an agent pipeline with search and recaptioning, improving generation of long-tail factual concepts via 143K curated trajectories.