3 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.CV2024★ 1 cited
Divide and Conquer: Language Models can Plan and Self-Correct for Compositional Text-to-Image Generation
Zhenyu Wang, Enze Xie, Aoxue Li +3
Despite significant advancements in text-to-image models for generating high-quality images, these methods still struggle to ensure the controllability of text prompts over images…
cs.CL2023★ 3 cited
DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning
Jing Xiong, Zixuan Li, Chuanyang Zheng +10
Recent advances in natural language processing, primarily propelled by Large Language Models (LLMs), have showcased their remarkable capabilities grounded in in-context learning. A…