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Large Language Models are biased to overestimate profoundness

Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 9653–9661

Abstract

Recent advancements in natural language processing by large language models (LLMs), such as GPT-4, have been suggested to approach Artificial General Intelligence.And yet, it is still under dispute whether LLMs possess similar reasoning abilities to humans.This study evaluates GPT-4 and various other LLMs in judging the profoundness of mundane, motivational, and pseudo-profound statements.We found a significant statement-to-statement correlation between the LLMs and humans, irrespective of the type of statements and the prompting technique used.However, LLMs systematically overestimate the profoundness of nonsensical statements, with the exception of Tk-instruct, which uniquely underestimates the profoundness of statements.Only fewshot learning prompts, as opposed to chain-ofthought prompting, draw LLMs ratings closer to humans.Furthermore, this work provides insights into the potential biases induced by Reinforcement Learning from Human Feedback (RLHF), inducing an increase in the bias to overestimate the profoundness of statements.

Authors 5

  1. Affiliation as printed

    Centro Nacional de Inteligencia Artificial (CENIA) , Chile

    Centro Nacional de Inteligencia Artificial (CENIA), Chile

  2. Pontificia Universidad Católica de Chile

    Affiliation as printed

    Centro Nacional de Inteligencia Artificial (CENIA) , Chile

    Pontificia Universidad Católica de Chile , Chile

    Centro Nacional de Inteligencia Artificial (CENIA), Chile

    Pontificia Universidad Católica de Chile, Chile

  3. Brown University

    Affiliation as printed

    Brown University , United States

    Brown University, United States

  4. Leiden University

    Affiliation as printed

    Leiden University , the Netherlands

    Leiden University, the Netherlands

  5. Affiliation as printed

    Centro Nacional de Inteligencia Artificial (CENIA) , Chile

    Centro Nacional de Inteligencia Artificial (CENIA), Chile

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