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20242026
most citedRAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning

3 citations · 4 across the 9 of their papers we have counts for

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cs.CV2026

MM-WebAgent: A Hierarchical Multimodal Web Agent for Webpage Generation

Yan Li, Zezi Zeng, Yifan Yang +12

The rapid progress of Artificial Intelligence Generated Content (AIGC) tools enables images, videos, and visualizations to be created on demand for webpage design, offering a flexi…

cs.CV2025★ 1 cited

TextAtlas5M: A Large-scale Dataset for Dense Text Image Generation

Alex Jinpeng Wang, Dongxing Mao, Jiawei Zhang +9

Text-conditioned image generation has gained significant attention in recent years and are processing increasingly longer and comprehensive text prompt. In everyday life, dense and…

cs.CV2024

Conditional Text-to-Image Generation with Reference Guidance

Taewook Kim, Ze Wang, Zhengyuan Yang +4

Text-to-image diffusion models have demonstrated tremendous success in synthesizing visually stunning images given textual instructions. Despite remarkable progress in creating hig…

cs.CV2024

Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization

Zichen Miao, Zhengyuan Yang, Kevin Lin +4

Recent advancements in timestep-distilled diffusion models have enabled high-quality image generation that rivals non-distilled multi-step models, but with significantly fewer infe…

cs.CV2024

AutoDirector: Online Auto-scheduling Agents for Multi-sensory Composition

Minheng Ni, Chenfei Wu, Huaying Yuan +6

With the advancement of generative models, the synthesis of different sensory elements such as music, visuals, and speech has achieved significant realism. However, the approach to…