ITAS, a multi-agent tutoring system with quantum-specialized LLM agents, cloud infrastructure, and analytics, was deployed in a real quantum computing course and provided evidence that agent specialization improves reliability while surfacing curriculum gaps.
Latency and cost of multi- agent intelligent tutoring at scale
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Introduces versioned late materialization to eliminate data redundancy in ultra-long sequence training for DLRMs by storing histories once and reconstructing via pointers at training time.
citing papers explorer
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From Prototype to Classroom: An Intelligent Tutoring System for Quantum Education
ITAS, a multi-agent tutoring system with quantum-specialized LLM agents, cloud infrastructure, and analytics, was deployed in a real quantum computing course and provided evidence that agent specialization improves reliability while surfacing curriculum gaps.
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Versioned Late Materialization for Ultra-Long Sequence Training in Recommendation Systems at Scale
Introduces versioned late materialization to eliminate data redundancy in ultra-long sequence training for DLRMs by storing histories once and reconstructing via pointers at training time.