SimGym is a browser-based VLM agent framework that simulates A/B test outcomes on e-commerce storefronts with 77% directional agreement on add-to-cart shifts from real buyer traffic.
Llm agent meets agentic ai: Can llm agents simulate customers to evaluate agentic-ai-based shopping assistants?arXiv preprint arXiv:2509.21501
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SHM-Agents is an LLM-plus-specialist-agent framework that claims to execute a wide range of SHM tasks end-to-end via natural language on data from a long-span cable-stayed bridge.
A hybrid agentic AI and multi-agent framework is proposed for prescriptive maintenance in smart manufacturing, using an LLM planner for workflow orchestration and specialized agents for schema discovery, feature analysis, model selection, and optimization, with initial validation on two industrial 1
citing papers explorer
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SimGym: A Framework for A/B Test Simulation in E-Commerce with Traffic-Grounded VLM Agents
SimGym is a browser-based VLM agent framework that simulates A/B test outcomes on e-commerce storefronts with 77% directional agreement on add-to-cart shifts from real buyer traffic.
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SHM-Agents: A Generalist-Specialist Integrated Agent System for Structural Health Monitoring
SHM-Agents is an LLM-plus-specialist-agent framework that claims to execute a wide range of SHM tasks end-to-end via natural language on data from a long-span cable-stayed bridge.
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Hybrid Agentic AI and Multi-Agent Systems in Smart Manufacturing
A hybrid agentic AI and multi-agent framework is proposed for prescriptive maintenance in smart manufacturing, using an LLM planner for workflow orchestration and specialized agents for schema discovery, feature analysis, model selection, and optimization, with initial validation on two industrial 1