Abstract: Physics-informed neural networks (PINNs) have recently been utilized to tackle wave equation-based forward and inverse problems. However, they encounter challenges in accurately predicting ...
In this work, we frame PDE solving as tool invocation via LLM-driven agents and introduce PDE-Agent, the first toolchain-augmented multiagent collaboration framework, inheriting the reasoning capacity ...
Abstract: Aiming at the allocation problem of crowdsourced logistics tasks in social manufacturing, a bipartite graph is constructed from the location of crowdsourced workers, and the temporal and ...
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