STORY · FORSKNING_
Don't ask language models to assess confidence in their own answers
An analysis of why it's problematic to ask language models (LLMs) to generate confidence scores for their own responses. The models lack a reliable mechanism for assessing their own uncertainty, and their confidence scores often do not reflect their actual accuracy.
WHY IT MATTERS
Understanding LLM limitations is critical for safe deployment in high-risk applications. If developers rely on the model's self-reported confidence, it can lead to false security and poor decision-making.
SOURCES
MACHINE-GENERATED SUMMARY This summary is written by machine from the sources below. We sort and explain — but we are a way into the field, not the final word. Check the source when something matters to you.