In this review, recent advances in material‐science agents from the complementary perspectives of autonomous design and autonomous experimentation are highlighted and a staged roadmap is proposed to facilitate the development of a standardized, reliable, and increasingly autonomous ecosystem for next‑generation materia...
Tong-Bo Jiang, Zheng-Yang Zhang, Ming-Shuo Nie et al.· Advanced Functional Material...· 0 citations
We introduce Xiaomi-TabLDM, a tabular large data foundation model for classification and regression via in-context learning, which delivers superior prediction accuracy without requiring task-specific fine-tuning. Pretrained exclusively on synthetic data generated from structural causal models (SCMs), our model enables...
Xiaomi-TabLDM Team Penghui Wang, Wei Liu, Hong Wang et al.· 0 citations
MGN-AIR is presented, a novel pixel-level restoration framework for all-in-one image restoration that leverages both textual and visual prompts to provide global and local degradation cues, guiding the model on where to look and how to restore at each pixel.
Chun-Xiao Liu, Wei Liu, Anbin Xiong et al.· 0 citations
FSP-Diff, a novel one-step diffusion model featuring a dual-pathway architecture that refines semantic guidance using structured details to mitigate semantic deviations, is proposed and demonstrates that FSP-Diff surpasses existing one-step diffusion methods in both quantitative and qualitative metrics.
Chunxiao Liu, Wei Liu, Anbin Xiong et al.· 0 citations
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