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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

Alexander Taylor

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2 papers indexed here

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Open access Oct 2026

C-MAGE: Automated Extraction and Organization Engine for Molecular Representations in Chemical Documents

C-MAGE enables large-scale information extraction of chemical structures in a consistent and reproducible pipeline, complementing the more common text extractions, and led to a 7.1% increase in accurate molecular representations generated.

Alexander K. Taylor, Jeehyun Hwang, Mihir Surve et al. · 0 citations
#artificial intelligence Preprint Sep 2026

ACLArena: Agent Continue Learning in Multi-stage Post-training

This work introduces ACLArena, a framework for comprehensively studying, analyzing, and evaluating Agent Continual Learning, and proposes a new ACL recipe that combines offline replay over high-quality trajectories with a routed network of multiple LoRA experts each specialized via RL, substantially improving the agent...

Hai-Xin Wang, Xiao-Xuan Wang, Junkai Zhang et al. · 0 citations

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