Aggregate Disambiguation Systems
Natural-language tasks can elicit different verdicts from protocol-following evaluators that receive the same declared information. We study aggregate disambiguation systems (ADSs). Given a task and a candidate solution, each evaluator casts a binary vote on whether the solution should be accepted, and the system aggregates the votes of a finite panel. The target is protocol reproducibility relative to an explicitly declared evaluator reference, not semantic truth. We separate fixed finite censuses, probabilistic evaluator populations, and growing-census limits, since their endpoint laws and guarantees are not interchangeable. In the population setting, we use finite samples to estimate h...
| Authors | José María Lago, Albert Castellana, Edgars Nemše |
|---|---|
| Primary category | stat.ME |
| Published | 31 August 2026 |
| Last updated at source | 31 August 2026 |
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