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Have (A)I Seen this Before?

Large Language Models (LLMs) commonly report high confidence, even in domains where their underlying knowledge or training data is limited. This mismatch can negatively impact model reliability, particularly affecting educational applications where users may not recognize errors. To detect these kno...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Anura Deshpande, Celine Cerezci, Benjamin Nye, Mark G. Core, Suvaditya Mukherjee, Joshua Shay Kricheli
Format: Artigo
Sprache:Inglês
Veröffentlicht: LibraryPress@UF 2026-04-01
Schriftenreihe:Proceedings of the International Florida Artificial Intelligence Research Society Conference
Schlagworte:
Large Language Model
Metacognition
Self-Assessment
Evaluation
Learning
Biologically Inspired Computing
Online-Zugang:https://journals.flvc.org/FLAIRS/article/view/141862
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