Agent4cs deploys summarization, keyword-extraction, and quality-assurance agents in a bottom-up pipeline that raises semantic consistency by 8% and normalized keyword coverage by up to 38% over structured prompting baselines on seven frontier models.
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AFA with identity-aware routing raises persona attribution accuracy from 35.7% to 61.3% on a new synthetic multi-user dialogue dataset.
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Agent4cs: A Multi-agent System for Code Summarization in Large Hierarchical Codebases
Agent4cs deploys summarization, keyword-extraction, and quality-assurance agents in a bottom-up pipeline that raises semantic consistency by 8% and normalized keyword coverage by up to 38% over structured prompting baselines on seven frontier models.
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AFA: Identity-Aware Memory for Preventing Persona Confusion in Multi-User Dialogue
AFA with identity-aware routing raises persona attribution accuracy from 35.7% to 61.3% on a new synthetic multi-user dialogue dataset.