2 papers
cs.CL2026
Evidence-Grounded Auditing of Identification Assumptions in Climate-Policy Causal Evaluations
Yonghong Zhang, Yong Xie, Isabel M. Parra +1
Difference-in-differences (DID) studies are widely used to evaluate climate policy, but assessing the evidence supporting their identification assumptions remains challenging. We i…
cs.AI2026
CausalVerify: End-to-End Verification of Causal Analyses by Language Models
Yonghong Zhang, Ricardo Correia, Isabel M. Parra +1
Language models increasingly perform empirical analyses end to end, yet existing evaluations assess the written explanation or whether generated code executes, not whether the exec…