Author

Steve Drew

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#artificial intelligence Preprint Sep 2026

Beyond Rule-Based Mutation Testing: Test-Aware Mutant Generation Using Large Language Models

Mutation testing evaluates test-suite adequacy by injecting synthetic faults into program code. However, traditional rule-based tools often generate large numbers of trivial, redundant, or equivalent mutants that limit their practical use for identifying gaps in a test suite. While recent large language model (LLM)-bas...

Nils Kiele, Zainab Saad, Zi-Rui Wang et al. · 0 citations

Preprint Aug 2026

FL-MAESTRO: Multi-Agent LLM Orchestration for Resource-Constrained Federated Learning

FL-MAESTRO is proposed, a multi-agent orchestrator that makes the joint runtime FL decision directly through three specialist LLM agents, one per decision dimension, and matches the accuracy of the strongest energy-aware baseline while cutting wasted round energy from over a third to near zero.

Jiajun Wu, Zirui Wang, Jiayu Zhou et al. · 0 citations