Improving Expert Predictions with Conformal Prediction

Catalog evidence and recorded chart appearances. Inclusion is not an endorsement.

Source snapshot imported 2026-10-20. This is not a live feed. Source and contributions.

Evidence and limits

Finding: Prediction sets can trade off misleading experts against task difficulty without requiring users to decide when to trust a single label.

Impact: Watch bounded option sets and measured coverage. Reject forced-choice sets where the valid action may be abstention or escalation.

Boundary: Multiclass prediction is narrower than open-ended work and experiments partly use simulated experts. Next: how should prediction-set logic expose missing-option risk?

Flags: bounded option sets; outcome observability required

Record State: Catalog review recorded; not a performance endorsement

What was reviewed: Structure and relevance screened; not a full evaluation

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Recorded chart appearances

No appearance in the chart editions included in this snapshot. This is not evidence of absence from other editions.