Independent Sampling
A reasoning method in which candidate generation does not depend on intermediate feedback or pruning; multiple candidates are generated independently and then aggregated.
Timeline (last 90 days)
The study compared three methods—independent sampling, a nominally configured tree search, and multi-operator search—on two model families while controlling the inference budget.
Independent sampling with extended prompts reproduces the same candidate discovery results as the nominal tree search without building a tree.
All Facts (2)
The study compared three methods—independent sampling, a nominally configured tree search, and multi-operator search—on two model families while controlling the inference budget.
50%UnverifiedIndependent sampling with extended prompts reproduces the same candidate discovery results as the nominal tree search without building a tree.
50%