Three code-specific uncertainty axes (lexical, algorithmic, functional) yield an ensemble that raises average AUROC from 0.696 to 0.776 across five code LLMs, with one single-pass signal matching multi-pass baselines at lower cost.
Workflow-driven modeling for the compute continuum: An optimization approach to automated system and workload scheduling,
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Empirical tests show QUBO-SA and QAOA-inspired schedulers lose feasibility beyond 10-15 tasks while MILP, CP-SAT, GA and HEFT remain robust on the same instances.
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Code Is More Than Text: Uncertainty Estimation for Code Generation
Three code-specific uncertainty axes (lexical, algorithmic, functional) yield an ensemble that raises average AUROC from 0.696 to 0.776 across five code LLMs, with one single-pass signal matching multi-pass baselines at lower cost.
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An Empirical Evaluation of Quantum-Inspired QUBO Methods for Heterogeneous HPC Workflow Mapping and Scheduling
Empirical tests show QUBO-SA and QAOA-inspired schedulers lose feasibility beyond 10-15 tasks while MILP, CP-SAT, GA and HEFT remain robust on the same instances.