An LLM agent integrated with AVEVA Process Simulation via MCP enables natural language driven flowsheet analysis, optimization, and construction for chemical separation processes.
Hallucination to Truth: A Review of Fact-Checking and Factuality Evaluation in Large Language Models.Artificial Intelligence Review, 59(2):70, January 2026
3 Pith papers cite this work. Polarity classification is still indexing.
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Guided LLM access produced better independent quiz performance, learning-oriented interactions, and self-assessment accuracy than unrestricted access or none in an undergraduate stats course.
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Large Language Model Agent for User-friendly Chemical Process Simulations
An LLM agent integrated with AVEVA Process Simulation via MCP enables natural language driven flowsheet analysis, optimization, and construction for chemical separation processes.
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Beyond Access: Guided LLM Scaffolding for Independent Learning in Undergraduate Statistics
Guided LLM access produced better independent quiz performance, learning-oriented interactions, and self-assessment accuracy than unrestricted access or none in an undergraduate stats course.