Jieyu Zhang

Jan 8, 2025 | salesforce.com | Jieyu Zhang |Le Xue |Zeyuan Johnson Chen |Ran Xu

The development of multimodal language models (MLMs) such as GPT4-V and BLIPs [1,2] have enabled many multimodal applications such as answering complex image-based queries; for example, “How many students are raising their hands in this image?”. These models rely heavily on instruction data—datasets that pair visual content with corresponding questions and answers. However, generating such data is a challenging task due to the limitations of existing approaches.

Dec 5, 2024 | pubs.rsc.org | Dan Song |Jieyu Zhang |Xuefeng Hu |Xiaoyan Liu

Progress in the treatment of Alzheimer's Disease based on nanosized Traditional Chinese Medicine Traditional Chinese medicine (TCM) has been employed for centuries in treating and managing Alzheimer's disease (AD). However, their effective delivery to target sites can be a major challenge. This is due to their poor water solubility, low bioavailability, and potential toxicity.

Sep 4, 2024 | snorkel.ai | Jieyu Zhang

The proliferation of multimodal foundation models has enabled new capabilities in image recognition. However, different models have different strengths. Data scientists can struggle to determine which models to consider for their application—or even how to assess them. That’s why my colleagues and I at the University of Washington developed “Task Me Anything.” This innovative solution allows users to generate bespoke benchmarks tailored to their needs.

Apr 20, 2024 | mdpi.com | Jun Li |Bo Wang |Jieyu Zhang

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