# IndiEval

The work introduces the FONTS taxonomy of five individual-simulation capabilities, curates a roughly 10M-instance corpus from 14 datasets, and builds Socio-Foundation through a three-stage post-training pipeline: DAPO-trained task experts, capability experts consolidated by off-policy distillation, and a unified student via multi-teacher on-policy distillation; it scores 61.7 on the authors' IndiEval, 11.0 points above the Qwen3-8B base, and beats that base on three out-of-distribution benchmarks.

The work introduces the FONTS taxonomy of five individual-simulation capabilities, curates a roughly 10M-instance corpus from 14 datasets, and builds Socio-Foundation through a three-stage post-training pipeline: DAPO-trained task experts, capability experts consolidated by off-policy distillation, and a unified student via multi-teacher on-policy distillation; it scores 61.7 on the authors' IndiEval, 11.0 points above the Qwen3-8B base, and beats that base on three out-of-distribution benchmarks.