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cs.CL2024★ 2 cited
Distinguishing Ignorance from Error in LLM Hallucinations
Adi Simhi, Jonathan Herzig, Idan Szpektor +1
Large language models (LLMs) are susceptible to hallucinations -- factually incorrect outputs -- leading to a large body of work on detecting and mitigating such cases. We argue th…
cs.CL2024
Constructing Benchmarks and Interventions for Combating Hallucinations in LLMs
Adi Simhi, Jonathan Herzig, Idan Szpektor +1
Large language models (LLMs) are prone to hallucinations, which sparked a widespread effort to detect and prevent them. Recent work attempts to mitigate hallucinations by interveni…