confidence estimation
Confidence estimation is the estimation of the probability that a model output is correct, within machine learning and information extraction pipelines. It is commonly used to guide manual review and to order auditing actions.
Timeline (last 90 days)
In LLM-based knowledge graph construction pipelines, confidence estimates are often used to guide human review.
In industrial scenarios, explainability is achieved through means such as feature attribution, confidence estimation, and guardrail mechanisms to help operators understand the recommendations of the learning loop.
The effectiveness of the threshold strategy is entirely dependent on the reliability of the confidence estimates.
All Facts (3)
In LLM-based knowledge graph construction pipelines, confidence estimates are often used to guide human review.
50%UnverifiedIn industrial scenarios, explainability is achieved through means such as feature attribution, confidence estimation, and guardrail mechanisms to help operators understand the recommendations of the learning loop.
50%UnverifiedThe effectiveness of the threshold strategy is entirely dependent on the reliability of the confidence estimates.
50%