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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

Shen Dong

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Book Open access Jul 2026

Adaptive Personalisation for Effective Conversational Search Systems

A novel modular, agentic framework is proposed, realised through a suite of specialised agents that are coordinated by a dynamic orchestration mechanism, aiming to enhance the retrieval effectiveness of static multi-agent pipelines.

Shen Dong · 0 citations
Book Open access Jul 2026

APR: Adaptive Personalised Reranking For Conversational Search

Adaptive Personalised Reranking (APR) is proposed, a framework that routes queries based on intent that uses efficient similarity-based reranking for simple queries and dynamically generates tailored instructions to guide an instruction-following reranker for constraint-heavy contexts.

Shen Dong, Iadh Ounis, Debasis Ganguly · 0 citations

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