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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

To exploit the data present in chemical literature for AI applications in chemistry, an expanded and reliable extraction pipeline is needed. AI-ready chemical databases broaden chemical space coverage and provide benchmarking and training sets for machine learning model development to drive innovation within the fiel...

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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