When making decisions under uncertainty, individuals often deviate from rational behavior, which can be evaluated across three dimensions: risk preference, probability weighting, and loss aversion.

Notably, in the blind docking setting, DeltaDock achieves a 31% relative improvement over the docking success rate compared with the previous state-of-the-art GDL model DiffDock.

Large Language Models (LLMs) are widely used in today's tasks of natural language processing.

If the rank-set of a model is large (small), it means that there is high (low) uncertainty in the ranking position of the model.

Sequential recommendation systems predict the next interaction item based on users' past interactions, aligning recommendations with individual preferences.

Please refer to table 1. The harmful keywords are with red and the unharmful keywords are withgreen background color.

Warning: This paper contains inappropriate/harmful visual contents. While widespread access to the Internet and the rapid advancement of generative models boost people's creativity and productivity, the risk of encountering inappropriate or harmful content also increases.

To this end, we present a formulation of synthesis planning with starting material constraints.

Nature and geometry furnish us with many such patterns, such as coastlines, snowflakes, the Cantor set and the Kuch curve.