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Zhou Shao

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#artificial intelligence Preprint Sep 2026

WEFT: Scaling Tool-Use Post-Training for General-Purpose Agents

Recent efforts to scale tool-use post-training have largely centered on the synthesis of executable environments, which constitute only one component of a broader agentic interaction system comprising the environment, task, agent harness, and evaluator. Scaling environments in isolation, however, does not guarantee com...

Bo Mao, Hang He, Lin-Ting Wang et al. · 0 citations
Book Open access Aug 2026

Scaling LLM Agent Tool Access at Cloud Scale

The gateway breaks the direct-connect data plane and consolidates legacy API integration, protocol bridging, access control, and session-aware routing, while scaling out elastically at low per-call overhead.

Ming-Xing Li, Enge Song, Yueshang Zuo et al. · 0 citations
Jul 2026

Scalable LLM Agent Tool Access in the Cloud

A cloud-scale gateway system for MCP service is presented, which breaks the direct-connect model on the data plane and offloads legacy service integration, consolidating incompatible MCP variants, access control, tool recommendation, and session-aware routing to the gateway.

Ming-Xing Li, Enge Song, Yueshang Zuo et al. · 0 citations

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