Knowledge Injection and Teacher-Student
Approaches: (Elaraby et al., 2023) focus on
measuring and reducing hallucinations in weaker
open-source large language models (LLMs) like
BLOOM 7B (Workshop et al., 2022). They in-
troduce HALOCHECK, a lightweight knowledge-
free framework to quantify hallucination severity in
LLMs. The authors explore techniques like knowl-
edge injection and teacher-student approaches to
alleviate hallucinations in low-parameter LLMs.
The framework uses sentence-level entailment to
quantitatively assess hallucination levels.

Augmented
AComprehensiveSurveyofHallucinationMitigationTechniquesinLarge LanguageModels