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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

You Zhou

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Open access Sep 2026

Graph-Constrained Diffusion with Progressive Distillation for Traveling Salesman Problem

Diffusion models have shown strong promise for neural combinatorial optimization, yet existing approaches define the forward noising process over a fully connected graph, discarding the sparse topological structure inherent to the Traveling Salesman Problem (TSP), and their multi-step inference incurs prohibitive laten...

Chu-Lei Zhang, Yun-Shuo Li, Fu-Shuo Li et al. · 0 citations
Book Open access Aug 2026

Learning to Handle Constrained Routing Problems From a Decoupling Perspective

This paper identifies a critical phenomenon in constrained VRPs termed the Global Cascading Effect, and proposes DeCo (Decoupled Constrained Optimization), a streamlined end-to-end framework designed to systematically dismantle these couplings.

Rui Cao, Zhiguang Cao, Yihan Huang et al. · 0 citations
Preprint Aug 2026

ReliableRAG: Combating Misinformation in Retrieval-Augmented Generation via Reliability-Guided Reasoning Chains

The proposed ReliableRAG is the first reliability-driven framework that mitigates deceptive misinformation in multi-hop QA through fine-grained evaluation of individual triples, and quantifies triple reliability by combining query-triple semantic relevance with triple credibility.

Jingjing Jiang, Xuan Wu, Wen-Hao Song et al. · 0 citations

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