3 citations · 5 across the 4 of their papers we have counts for
4 papers
ImagenWorld: Stress-Testing Image Generation Models with Explainable Human Evaluation on Open-ended Real-World Tasks
Samin Mahdizadeh Sani, Max Ku, Nima Jamali +23
Advances in diffusion, autoregressive, and hybrid models have enabled high-quality image synthesis for tasks such as text-to-image, editing, and reference-guided composition. Yet,…
Collaborative AI Enhances Image Understanding in Materials Science
Ruoyan Avery Yin, Zhichu Ren, Zongyou Yin +4
The Copilot for Real-world Experimental Scientist (CRESt) system empowers researchers to control autonomous laboratories through conversational AI, providing a seamless interface f…
Contrastive Learning of English Language and Crystal Graphs for Multimodal Representation of Materials Knowledge
Yang Jeong Park, Mayank Kumaran, Chia-Wei Hsu +2
Artificial intelligence (AI) is increasingly used for the inverse design of materials, such as crystals and molecules. Existing AI research on molecules has integrated chemical str…
1.5 million materials narratives generated by chatbots
Yang Jeong Park, Sung Eun Jerng, Jin-Sung Park +5
The advent of artificial intelligence (AI) has enabled a comprehensive exploration of materials for various applications. However, AI models often prioritize frequently encountered…