training-environment

Ask-E is a new benchmark and training environment that evaluates and trains models on generating questions calibrated to specific skill levels, defined by the capabilities of two existing language models. Frontier models score below 50% on calibration, and training on Ask-E improves downstream math benchmarks without new math data or correctness-based rewards.

Recursive Language Models (RLMs) introduce a task-agnostic inference paradigm enabling language models to handle near-infinite contexts by recursively calling themselves over input, with an accompanying open-source inference engine and training environment.