With the rapid advancement of Large Language Models (LLMs), an increasing number of researchers are focusing on Generative Recommender Systems (GRSs). Unlike traditional recommendation systems that ...

Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract invariant features across varied distributions, has ...

A pioneering neuroimaging study reveals distinct patterns of neurovascular compression in virus-associated vestibulopathies, providing new insights into the potential mechanistic differences between ...

Chain-of-Thought (CoT) prompting has enhanced the performance of Large Language Models (LLMs) across various reasoning tasks.

Members of the SDBII team attended the Georgia Dairy Conference in January. Shown left to right are Ansley Roper, the ...

Researcher Gorana González, at the time the coordinator of the Cooperation Lab at Boston College, works with a child in ...

A new noninvasive optical method tracks real‑time changes in tissue water during hemodialysis, offering a potential early ...

Cancer cells (red) stick to mesothelial cells (green) and form hybrid spheres that cut into surrounding abdominal tissue.

Red stained mesothelial cells (red arrow) break through surrounding tissue first and create pathways for cancer cells. Green ...

Drug resistance has accelerated in recent years with the emergence of deadly bacteria and “superbugs.” UC San Diego biologists have developed a new CRISPR-based technology capable of removing ...

Raphael Trischler (seated) and Volker Müller in the laboratory at an anaerobic chamber. The chamber contains no oxygen but nitrogen, allowing oxygen-sensitive bacteria such as B. luti to be handled ...

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