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nlp:hallucination_and_factivity [2025/06/02 00:52] – [Hallucination and Factivity in LLMs] jmflanignlp:hallucination_and_factivity [2025/06/02 00:52] (current) – [Hallucination and Factivity in LLMs] jmflanig
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   * [[https://arxiv.org/pdf/2206.04624.pdf|Lee et al 2022 - Factuality Enhanced Language Models for Open-Ended Text Generation]] - Prepends a topic prefix to sentences in the factual documents to make each sentence serve as a standalone fact during pretraining.   * [[https://arxiv.org/pdf/2206.04624.pdf|Lee et al 2022 - Factuality Enhanced Language Models for Open-Ended Text Generation]] - Prepends a topic prefix to sentences in the factual documents to make each sentence serve as a standalone fact during pretraining.
   * [[https://arxiv.org/pdf/2210.09150.pdf|Prompting GPT-3 To Be Reliable]]   * [[https://arxiv.org/pdf/2210.09150.pdf|Prompting GPT-3 To Be Reliable]]
-  * [[https://arxiv.org/pdf/2305.13534|Merrill et al 2023 - How Language Model Hallucinations Can Snowball]]+  * [[https://arxiv.org/pdf/2305.13534|Zhang et al 2023 - How Language Model Hallucinations Can Snowball]]
   * **[[https://arxiv.org/pdf/2305.14251.pdf|Min et al 2023 - FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation]]**   * **[[https://arxiv.org/pdf/2305.14251.pdf|Min et al 2023 - FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation]]**
   * [[https://arxiv.org/pdf/2309.05217.pdf|Du et al 2023 - Quantifying and Attributing the Hallucination of Large Language Models via Association Analysis]]   * [[https://arxiv.org/pdf/2309.05217.pdf|Du et al 2023 - Quantifying and Attributing the Hallucination of Large Language Models via Association Analysis]]
nlp/hallucination_and_factivity.1748825550.txt.gz · Last modified: 2025/06/02 00:52 by jmflanig

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