Paper Proposes Causal Foundation Models for In-Context Treatment Effect Estimation

A new arXiv paper, Causal Foundation Models, applies the foundation-model paradigm to causal inference: instead of custom pipelines per question, a single pretrained model estimates treatment effects via in-context learning.

2026-09-04 ~ 2026-09-06 · 2 related posts

• Causal Foundation Models: Pretrained Nets Estimate Treatment Effects via In-Context Learning — chaumian · 2026-09-04
• Causal Foundation Models: pretrained nets estimate treatment effects in-context, no retraining — burny_tech · 2026-09-06