We propose SimpleStrat for diversifying LLM generations and introduce CoverageQA a benchmark of multi-answer questions for evaluating coverage.

This paper proposes an approximation algorithm for streaming stochastic submodular maximization problem under a novel on-demand user requests senario

We show that limiting a model's confidence during training can improve test-time scaling in mathematical reasoning.

Develops split conformal methods that achieve approximately conditional coverage on new predictions