Author

Luke S. Zettlemoyer

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#artificial intelligence Jan 2026

Unified Text-Image Generation with Weakness-Targeted Post-Training

This work explores post-training to achieve fully unified text-image generation, where a model autonomously transitions from textual reasoning to visual synthesis within a single inference process, and enables improvements in multimodal image generation across four diverse, independent T2I benchmarks.

Jiahui Chen, Philippe Hansen-Estruch, Xiao-Chuang Han et al. · arXiv.org · 1 citation

Preprint Aug 2026

Vision-Language Grounding as Bidirectional Concept Correspondence

This formulation unifies common grounding tasks, including phrase grounding, referring expression grounding, and open-vocabulary detection, by treating text segmentation, image segmentation, and cross-modal alignment as a single correspondence prediction problem.

Jieyu Zhang, Ziqi Gao, Luke S. Zettlemoyer et al. · 0 citations