Skip to content
Log in
Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Mark D. Smucker

h-index 27 View on Semantic Scholar

We have 2 of 108 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Jul 2026

Boolean queries are all you need?

An LLM-based search agent is equipped with access to a Boolean retrieval engine to search the MS MARCO V2.1 deduped segment collection used by the TREC 2024 RAG track, and the results suggest that simple pattern matching may be sufficient for agentic search.

Charles L. A. Clarke, Mark D. Smucker · 0 citations
Book Open access Jul 2026

Simulating the Lateral Reader for News Trustworthiness Reports with an Iterative Multi-Agent RAG System

An iterative multi-agent Retrieval-Augmented Generation (RAG) system that operationalizes an iterative workflow of asking investigative questions, searching for external evidence, and synthesizing findings with attribution for the TREC 2025 DRAGUN Track.

Dake Zhang, Mark D. Smucker · 1 citation

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.