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Article

Execution Grounded Multiagent Systems for Reliable Backend Code Generation with Large Language Models'

2026-08-14

Abstract excerpt

<title>Abstract</title> <p>Multi-agent architectures for large-language-model code synthesis are widely reported to improve correctness, but they are rarely compared against a single-agent baseline that receives the same execution feedback inside the same runtime. The gain attributed to role decomposition may therefore be the gain from execution feedback under another name. We present ExecuGraph, a workflow frame...

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Literature Corpus work
09c4cf6a-c061-5044-84f5-28ff1c6f0c26
DOI
10.21203/rs.3.rs-10681298/v1
Open publication

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Execution Grounded Multiagent Systems for Reliable Backend Code Generation with Large Language Models'DOI 10.21203/rs.3.rs-10681298/v1
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