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Hallucination Survey (Early)

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Hallucination Survey (Early)
Paper summary

Classifies hallucination phenomena in LLMs and catalogs evaluation criteria and mitigation strategies.

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Key points
01

Hallucination types: Distinguishes factual hallucinations, logical hallucinations, and contextual hallucinations, showing they require different mitigation approaches.

02

Evaluation criteria: Reviews evaluation metrics for detecting and quantifying hallucinations, covering automatic metrics, LLM-as-judge, and human evaluation.

03

Mitigation catalog: Organizes mitigation strategies by training stage (pretraining, SFT, RLHF) and inference stage (RAG, decoding, verification).

04

Reference snapshot: Captures the state of hallucination research mid-2023, providing a useful anchor for tracking how the field evolved through 2024.

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