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Computing & AI · Source-linked note

Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs

Trains linear hidden-state classifiers against binarized semantic-entropy targets, estimating uncertainty from one generation instead of repeated test-time sampling.

What is recorded here?

Trains linear hidden-state classifiers against binarized semantic-entropy targets, estimating uncertainty from one generation instead of repeated test-time sampling.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

Requires hidden-state access and sampling-based training targets; low test-time overhead does not remove training cost. Before-generation and end-of-generation locations differ. Source v1 discrete-probability paragraph appears to divide sample counts by cluster count K rather than sample count N; implementation/formula reconciliation not independently replayed. No universal truth guarantee or biological application claim.

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People and systems

Jannik Kossen; Jiatong Han; Muhammed Razzak; Lisa Schut; Shreshth Malik; Yarin Gal

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

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English catalogue narrative

Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs

Trains linear hidden-state classifiers against binarized semantic-entropy targets, estimating uncertainty from one generation instead of repeated test-time sampling.

Scientific scope

Requires hidden-state access and sampling-based training targets; low test-time overhead does not remove training cost. Before-generation and end-of-generation locations differ. Source v1 discrete-probability paragraph appears to divide sample counts by cluster count K rather than sample count N; implementation/formula reconciliation not independently replayed. No universal truth guarantee or biological application claim.

Reading status

This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.

People and systems

Jannik Kossen; Jiatong Han; Muhammed Razzak; Lisa Schut; Shreshth Malik; Yarin Gal

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

Original sources