In recent decades, TiO 2 nanomaterial photocatalysts for energy and environmental applications
have attracted extensive research interest. However, the main bottlenecks are the large …

Fine-tuning visual models has been widely shown promising performance on many downstream
visual tasks. With the surprising development of pre-trained visual foundation models, …

In this work, we introduce the Qwen-VL series, a set of large-scale vision-language models (LVLMs)
designed to perceive and understand both texts and images. Starting from the Qwen…

Large language models (LLMs) have revolutionized the field of artificial intelligence, enabling
natural language processing tasks that were previously thought to be exclusive to humans…

In this work, we introduce the Qwen-VL series, a set of large-scale vision-language models (LVLMs)
designed to perceive and understand both texts and images. Starting from the Qwen…

We present the Qwen2-VL Series, an advanced upgrade of the previous Qwen-VL models
that redefines the conventional predetermined-resolution approach in visual processing. …

As one of the most advanced techniques in AI, Retrieval-Augmented Generation (RAG) can
offer reliable and up-to-date external knowledge, providing huge convenience for numerous …

The two-dimensional layer of molybdenum disulfide (MoS2) exhibits promising prospects in
the applications of optoelectronics and valleytronics. Herein, we report a successful new …

Flexible electronic and photonic devices have been demonstrated in the past decade, with
significant promise in low-cost, light-weighted, transparent, biocompatible, and portable …

Laser Metal Deposition Shaping (LMDS) is a new rapid manufacturing technology, which
can build fully-dense metal components directly from the information transferred from a …