Retrieval-augmented generation enhances the performance of AI agents by expanding their recall. It can do this in three ...
Abstract: In this paper, we propose a biologically plausible computational working memory (WM) model implemented using a spiking neuron model representing a predictable WM mechanism in a single neuron ...
New benchmarks show semantic code graphs helping coding agents find change locations faster and complete updates more ...
Abstract: Large Language Models (LLMs), like those of the ChatGPT, Gemini, and Claude families, are increasingly being researched for their potential utilization in programming education. Traditional ...
Hy 2 DL is a python library to create hydrological models for rainfall-runoff prediction using deep learning methods. The repository includes implementations with Large-Sample Hydrology datasets such ...
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