CausalForge: A Formally Grounded, Self-Improving Agentic Framework for Automated Research in Causal Inference
By Jiyuan Tan · Paper · stat.ML
Automating theoretical research is constrained not only by the generation of candidate results, but also by their reliable evaluation. A common approach is to close the research loop with a large language model (LLM) reviewer. However, such reviewers remain empirically unreliable