Author

Ricardo Correia

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#natural language process... Review Sep 2026

Evidence-Grounded Auditing of Identification Assumptions in Climate-Policy Causal Evaluations

Difference-in-differences (DID) studies are widely used to evaluate climate policy, but assessing the evidence supporting their identification assumptions remains challenging. We introduce ARGUS, a structured language-model pipeline that audits reported evidence against an eleven-dimension assumption-implication-eviden...

Yong-Hong Zhang, Yong Xie, Isabel M. Parra et al. · 0 citations

Preprint Sep 2026

The Double Measurement Confound in Agent Benchmarks: De-Scaffolding, Ground-Truth Scoring, and Reliability Beyond the Mean

The results suggest that benchmark scores should be interpreted together with their scaffolding level, scoring criterion, and reliability profile, providing a practical framework for more valid evaluation of LLM agents.

Yong-Hong Zhang, Shadi Motaali, Vu Phong Dinh et al. · 2 citations

#artificial intelligence Preprint Sep 2026

CausalVerify: An Execution-Grounded Benchmark for LLM Causal Inference Workflows

Existing causal-inference benchmarks for LLMs mostly score method descriptions or whether generated code runs, not whether the executed workflow recovers the target causal estimate. CausalVerify studies this verification problem for structured econometric causal-estimation workflows by separating realistic interpretati...

Yong-Hong Zhang, Ricardo Correia, Isabel M. Parra et al. · 0 citations