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Author

Lars Olds

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Preprint Jul 2026

A Human-Augmenting Agentic Workflow for Observational Causal Inference

Across numerous evaluations, `oci-agent`, an open-source Python package that implements a human-in-the-loop agentic workflow for observational causal inference, outperforms less structured baselines while remaining competitive with hand-tuned benchmarks.

Winston Chou, Adrien Alexandre, Lars Olds et al. · 0 citations
#artificial intelligence Review Aug 2026

The Lifecycle of LLM-as-a-Judge for Large-Scale Recommendation Explanations

This work argues that an LLM judge running in a production system is better understood as having a lifecycle: it must be built, trained, deployed, and continuously maintained as the surrounding data evolves, and each phase poses distinct technical and operational challenges.

Emma Kong, J. Tan, Ishan Gupta et al. · 0 citations

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