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  • Nick McKenna, Tianyi Li, Liang Cheng
    |
    Oct 22nd, 2023
    |
    preprint
    Nick McKenna, Tianyi Li, Liang Cheng
    Oct 22nd, 2023

    Large Language Models (LLMs) are claimed to be capable of Natural Language Inference (NLI), necessary for applied tasks like question answering and summarization. We present a series of behavioral studies on several LLM families (LLaMA, GPT-3.5, and PaLM) which probe their behavior using controlled experiments. We establish two biases originating from pretraining which predict much of their behavior, and show that these are major sources of hallucination in generative LLMs. First,...

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